Contact Information

VISLab
Winston Chung Hall Room 216
University of California, Riverside
900 University Avenue
Riverside, CA 92521-0425

Tel: (951)-827-3954

UCR Collaborators:
CSE
ECE
ME
STAT
PSYC
ENTM
BIOL
BPSC
ECON
MATH
BIOENG
MGNT

Other Collaborators:
Keio University

Other Activities:
IEEE Biometrics Workshop 2019
IEEE Biometrics Workshop 2018
Worshop on DVSN 2009
Multibiometrics Book

Webmaster Contact Information:
Alex Shin
wshin@ece.ucr.edu

Last updated: July 1, 2017

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Click Here for Publications Listed in Chronological Order

Video Bioinformatics

• Brain
• P. Jonnalagedda, B. Weinberg, J. Allen, T.L. Min, S. Bhanu and B. Bhanu, “SAGE: Sequential attribute generator for analyzing glioblastomas using limited dataset,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Accepted June 20, 2020. Also at arXiv preprint arXiv: 2005.07225, 2020. Link
• V. On, A. Zahedi, I.M Ethell and B. Bhanu, “Automated spatio-temporal analysis of dendritic spines and related protein dynamics,” Plos One, pp. 1-23, August, 2017. Link
• V. On, A. Zahedi, I. Ethell and B. Bhanu, “Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Link
• A. Bianchi, B. Bhanu and A. Obenaus, "Dynamic low-level context for the detection of mild traumatic brain injury," IEEE Transactions on Biomedical Engineering, Vol. 62, No. 1, pp. 145-153, January 2015. Link
• N. Ghosh, Y. Sun, B. Bhanu, S. Ashwal, A. Obenaus, "Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images," Medical Image Analysis, 18, pp. 1059-1069, May 16, 2014. Link
• A. Bianchi, B. Bhanu, V. Donovan, and A. Obenaus, "Visual and contextual modeling for the detection of repeated mild traumatic brain injury," IEEE Transactions on Medical Imaging, Vol. 33, No. 1, January 2014. Link
• A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, "Detecting mild traumatic brain injury using dynamic low level context," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• V. Donovan, A. Bianchi, R. Hartman, B. Bhanu, M.J. Carson, and A. Obenaus, "Computational analysis reveals increased blood deposition following repeated mild traumatic brain injury," NeuroImage Clinical, Sept., 2012. Link
• Y. Sun and B. Bhanu, "Reflection symmetry integrated image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 34, No. 9, pp. 1827-1841, September 2012. Link
• A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, "Contextual and visual modeling for detection of mild traumatic brain injury in MRI," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• V. Donovan, A. Bianchi, R. Hartman, B. Bhanu, M. Carson, and A. Obenaus, "Computational analysis of injured tissue following repetitive mild traumatic brain injury," 30th Annual National Neurotrauma Symposium, A159-160, Phoenix, Arizona, July 22-25, 2012. Link
• A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, "Mild traumatic brain injury detection through visual and contextual modeling," Poster presented at the Traumatic Brain Injury Conference Washington, DC, 2012. Link
• N. Ghosh, R. Recker, A. Shah, B. Bhanu, S. Ashwal and A. Obenaus, "Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury," Journal of Magnetic Resonance Imaging. 2011. Link
• Y. Sun and B. Bhanu, "3D filtering for injury detection in brain MRI," 20th International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Link
• S. Ashwal, J.S. Coats, A. Bianchi, B. Bhanu and A. Obenaus, "Semi-automated segmentation of ADC maps reliably defines ischemic perinatal stroke injury," Sixth Hershey Conference on Developmental Brain Injury. June 4-7, 2008, Ecquevilly, France. Link
• Y. Sun, B. Bhanu and S. Bhanu, "Symmetry-integrated injury detection for brain MRI," IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009. Link
• Y. Sun, B. Bhanu and S. Bhanu, "Automatic symmetry-integrated brain injury detection in MRI sequences," IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, June 20, 2009, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. Link
• Stem Cells
• A. Witmer and B. Bhanu, “Generative adversarial networks for morphological-temporal classification of stem cell images,” Sensors 22, No. 1:206, 26 journal pages, Published 12/2021. Link
• R. Theagarajan and B. Bhanu, “DeephESC 2.0: Deep generative multi adversarial networks for improving the classification of hESC,” Plos One, (in Press) Link
• I.K. Martinez, J.V. Madrid, N. R. Sparks, H. Affeldt III, M.K. Vera, B. Bhanu and N.I. zur Nieden, “Video-based kinetic analysis of calcification in live osteogenic human embryonic stem cell cultures reveals the developmentally toxic effect of Snus tobacco extract,” Toxicology and Applied Pharmacology, 363 (2019) 111–121. Link
• A. Witmer and B. Bhanu, “Multi-label classification of stem cell microscopy images using deep learning,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• R. Theagarajan, B. Guan and B. Bhanu, “DeephESC: An automated system for generating and classification of human embryonic stem cells,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• V. On, A. Zahedi and B. Bhanu, “3D Reconstruction of phase contrast images using focus measures,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• A. Witmer and B. Bhanu, “HESCNET: A synthetically pre-trained convolutional neural network for human embryonic stem cell colony classification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• B.X. Guan, B. Bhanu, P. Talbot and J-H Weng, “Extraction of blebs in human embryonic stem cell videos,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016. Link
• A. Zahedi, V. On, S. Lin, B.C. Bays, E. Omaiye, B. Bhanu and P. Talbot, “Evaluating cell processes, quality, and biomarkers in pluripotent stem cells using video bioinformatics” Plos One, 2016. Link
• B.X. Guan, B. Bhanu, P. Talbot, S. Lin, "Bio-driven cell region detection in human embryonic stem cell assay," IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, Issue 3, pp. 604-611, May/June 2014. Link
• B.X. Guan, B. Bhanu, P. Talbot, S. Lin and N. Weng, “Comparison of texture features for human embryonic stem cells with bio-inspired multi-class support vector machine,” IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014. Link
• B.X. Guan, B. Bhanu, N. Thakoor, P. Talbot, S. Lin, "Automatic cell region detection by K means with weighted entropy," International Symposium on Biomedical Imaging (ISBI 2013). Link
• B.X. Guan, B. Bhanu, P. Talbot and S. Lin, "Automated human embryonic stem cell detection," 2nd Annual IEEE Healthcare Informatics, Imaging, and Systems Biology Conference, San Diego, September 27 - 28, 2012. Link
• B.X. Guan, B. Bhanu, P. Talbot and S. Lin, "Detection of non-dynamic blebbing single unattached human embryonic stem cell," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• B. Guan, B. Bhanu, N. Thakoor, P. Talbot and S. Lin, "Human Embryonic Stem Cell Detection by Spatial Information and Mixture of Gaussians," IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, CA, July 27-29, 2011. Link
• S. Lin, S. Fonteno, S. Satish and B. Bhanu and P. Talbot, "Video bioinformatics analysis of human embryonic stem cell colony growth," Journal of Visualized Experiments (JOVE), Issue 39, May 20, 2010.Link (5 pages and associated 51MB video). http://www.jove.com/index/details.stp?id=1933
• Plant & Cancer Cells
• A. Tambo and B. Bhanu, “Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Link
• A.L. Tambo, B. Bhanu, N. Ung, N. Thakoor, N. Luo and Z. Yang, “Understanding pollen tube growth dynamics using the unscented Kalman filter,” Pattern Recognition Letters, Vol. 72, pp. 100-108, March 2016. Link
• A. L. Tambo and B. Bhanu, “Modeling and classifying tip dynamics of growing cells in video,” IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1369-1373, 2016. Link
• A. Tambo and B. Bhanu, “Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving,” IEEE Trans. on Image Processing, 2016. Link 1 - Link 2
• A.L. Tambo and B. Bhanu, “Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video,” IEEE International Conference on Image Processing, September 27-30, 2015, Quebec, Canada. Link
• A. L. Tambo and B. Bhanu, “Modeling and classifying tip dynamics of growing cells in video,” IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1369-1373, 2016. Link
• Visualizing Plant Cells From Within - Video
• A. Cruz, B. Bhanu and N. Thakoor, "Background suppressing Gabor energy filtering," Pattern Recognition Letters, 52:40-47, 2015. Link
• A.L. Tambo and B. Bhanu, "Integrated model for understanding pollen tube growth in video," 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. Link
• G. Harlow, A. Cruz, L. Shuo, N. Thakoor, A. Bianchi, J. Chen, B. Bhanu, Z. Yang, "Automated spatial analysis of ARK2: Putative link between ROP signaling and microtubules," International Symposium on Biomedical Imaging (ISBI 2013). Link
• A. Cruz, B. Bhanu, Z. Yang, "Spatiotemporal dynamics of the growth of pollen tubes using GFP-tagged videos," Workshop on Bio-image Informatics: Biological Imaging, Computer Vision and Data Mining, University of California at Santa Barbara, January 2008. Link
• B. Bhanu and O. Faugeras, "Segmentation of images having unimodal distributions," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 4, No. 4, pp. 408-419, 1982. Link
• Species
• B. Bhanu, R. Li, J. Heraty and E. Murray, "Automated classification of skippers based on parts representation," American Entomologist, pp. 228-231, December 2008. Link
• Mitochondria
• A. Zahedi, V. On, R. Phandthong, A. Chaili, G. Remark, B. Bhanu, P. Talbot, “Deep analysis of mitochondria and cell health using machine learning" Nature Scientific Reports, 2018. Link
• Cancer
• P. Jonnalagedda, B. Weinberg, J. Allen and B. Bhanu, “Feature disentanglement to aid imaging biomarker characterization for genetic mutations,” Medical Imaging with Deep Learning (MIDL) Conference, Proceedings of Machine Learning Research, Montreal, Canada, July 6-8, 2020. (full paper, 66/148 full paper accepted) . Link
• P. Jonnalagedda, D. Schmolze and B. Bhanu, “MVPNets: Multi-Viewing path deep learning neural networks for magnification invariant diagnosis in breast cancer,” The 18th IEEE International Conference on BioInformatics and BioEngineering, October 29-31, 2018. Link

Biometrics

• Gait
• B. Bhanu and J. Han, "Human Recognition at a Distance in Video", Springer 2010. ISBN: 978-0-85729-123-3. Front/Back Cover - Publisher Link
• D. Zhang, Y. Wang and B. Bhanu, "Age classification based on gait using HMM," 20th International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Link
• D. Zhang, Y. Wang and B. Bhanu, "Ethnicity classification based on gait using multi-view fusion," IEEE Computer Society Workshop on Biometrics, August 18, 2010, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. Link
• B. Bhanu, ''Human recognition in a video network," SPIE Conference on Multispectral Image Processing and Pattern Recognition, pp. 1-6, October 30-November 1, 2009. Link
• K. Yamauchi, B. Bhanu and H. Saito, "Recognition of walking humans in 3D: Initial results," IEEE Computer Society Workshop on Biometrics, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. The paper received the Best Student Paper Award. Link
• X. Zhou and B. Bhanu, "Feature fusion for video-based human identification," Pattern Recognition, Special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, Volume 41, Issue 3, Pages 778-795, March 2008. Link
• B. Bhanu, "Human recognition at a distance," SPIE Conference on Multispectral Image Processing and Pattern Recognition, November 2007, 1-6 page, 2007. Link
• X. Zhou and B. Bhanu, "Integrating face and gait for human recognition at a distance in Video," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 37, No. 5, pp. 1119-1137, Oct. 2007. Link
• J. Han and B. Bhanu, "Individual recognition using gait energy image," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 2, pp. 316-322, February 2006. Link
• J. Han and B. Bhanu, "Fusion of color and infrared video for moving human detection," Pattern Recognition, Vol. 40, No. 6, pp. 1771-1784, 2007. Link
• X. Zhou and B. Bhanu, "Feature fusion of face and gait for human recognition at a distance in video," International Conference on Pattern Recognition, Vol. 4, pp. 529-532, Hong Kong, China, Aug. 21-24, 2006. Link
• X. Zou and B. Bhanu, "Human activity classification based on gait energy image and coevolutionary genetic programming," International Conference on Pattern Recognition, Vol. 3, pp. 556-569, Hong Kong, China, Aug. 21-24, 2006. Link
• X. Zhou and B. Bhanu, "Integrating face and gait for human recognition," IEEE Workshop on Multimodal Biometrics held in Conjunction with IEEE Conference on Computer Vision and Pattern Recognition, New York City, June 17-18, 2006. Link
• J. Han, B. Bhanu and A. Roy Chowdhury, "A study on view-insensitive gait recognition," International Conference on Image Processing, Genoa, Italy, September 11-14, 2005. Link
• X. Zhou, B. Bhanu and J. Han, "Human recognition at a distance in video by integrating face profile and gait," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 533-543, Rye Brook, NY, July 20-22, 2005. Link
• J. Han and B. Bhanu, "Gait recognition by combining classifiers based on environmental contexts," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 416-425, Rye Brook, NY, July 20-22, 2005. Link
• J. Han and B. Bhanu, "Human activity recognition in thermal infrared imagery," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Link
• J. Han and B. Bhanu, "Performance prediction for individual recognition by gait," Pattern Recognition Letters, Vol. 26, no. 5, pp. 615-624, April 2005. Link
• J. Han and B. Bhanu, "Statistical feature fusion for gait-based human recognition," Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 842-847, Washington, DC, June 27-July 2, 2004. Link
• J. Han and B. Bhanu, "Individual recognition using gait energy image," Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 181-188, December 11-12, 2003. Link
• J. Han and B. Bhanu, "Gait energy image representation: Comparative performance evaluation on USF HumanID database," Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Nice, France, Oct. 11-12, 2003. Link
• B. Bhanu and J. Han, "Human recognition on combining kinematic and stationary features," Proceedings International Conference on Audio and Video-based Biometric Person Authentication, pp. 600-608, Guildford, UK, June 9-11, 2003. Link
• B. Bhanu and J. Han, "Bayesian-based performance prediction for gait recognition," Proceedings IEEE Workshop on Human Motion and Video Computing, pp. 145-150, Orlando, Florida, December 5-6, 2002. Link
• B. Bhanu and J. Han, "Kinematic-based human motion analysis in infrared sequences," Proceedings IEEE Workshop on Applications of Computer Vision, pp. 208-212, Orlando, Florida, December 3-4, 2002. Link
• B. Bhanu and J. Han, "Individual recognition by kinematic-based gait analysis," Proceedings International Conference on Pattern Recognition, Vol. III, pp. 343-346, Quebec City, Canada, August 11-15, 2002. Link
• Face/Iris
• V. Struc, B. Bhanu, A. Hadid, Q. Ji, M. Nixon, R. Chellappa, and J. Kittler, "Editorial on Special Issue on Biometrics in the Wild,” Image and Vision Computing, November 22, 2018.
• F. Pala and B. Bhanu, “Iris liveness detection by relative distance comparisons,” IEEE Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, July 21, 2017. Honolulu, HI. Link
• M. Kafai, L. An, K. Eshaghi and B. Bhanu, “A reference-based framework for pose invariant face recognition,” International Workshop on Biometrics in the Wild held in conjunction with 11th IEEE International Conference on Automatic Face and Gesture Recognition, May 4-8, 2015, Ljubljana, Slovenia. Link
• M. Kafai, L. An and B. Bhanu, "Reference face graph for face recognition," IEEE Transactions on Information Forensics and Security, Vol. 9, No. 12, pp. 2132-2143, December 2014. Link
• A.A. Farag, B. Bhanu, E. Hancock, G. Medioni and J. Yang (Editors): Special Issue on "Face biometrics in the wild," IEEE Trans. on Information Forensics and Security, Vol. 9, No. 12, pp. 2019-2023, Dec. 2014. Link
• M. Kafai, K. Eshghi and B. Bhanu, "Discrete cosine transform based locality-sensitive hashes for retrieval," IEEE Transactions on Multimedia, Vol. 16, Issue 4, pp. 1090-1103, June 2014. Link
• L. An, M. Kafai and B. Bhanu, "Dynamic Bayesian network for unconstrained face recognition in surveillance camera networks," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 3, No. 2, pp. 155-164, June, 2013. Link
• A. Cruz, B. Bhanu and N.S. Thakoor, "Facial emotion recognition with anisotropic inhibited Gabor energy histograms," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• S. Yang, L. An, N. Thakoor and B. Bhanu, "Improving action units recognition using dense flow-based face registration in video," 10th IEEE International Conference on Automatic Face and Gesture Recognition, April 22-26, 2013, Shanghai, China. Link
• A. Cruz, B. Bhanu and N. S. Thakoor, "Vision and attention theory based sampling for continuous facial emotion recognition," IEEE Transactions on Affective Computing, Vol. 5, No. 4, pp. 418-431, October-December 2014. Link
• L. An and B. Bhanu, "Face image super-resolution using 2D CCA," Signal Processing, 103, pp. 183-194, 2014. Link
• A. Le, B. Bhanu and S. Yang, "Boosting face recognition in real-world surveillance videos," 9th IEEE International Conference on Advanced Video and Signal-based Surveillance, Beijing, China, 18-21 September 2012. Link
• S. Yang and B. Bhanu, "Understanding discrete facial expressions in video using an emotion avatar image," IEEE Trans. on Systems, Man and Cybernetics, Part B, Special Issue, Vol. 45, No. 4, August 2012. Link
• A. Cruz, B. Bhanu and N. Thakoor, "Facial emotion recognition with expression energy," 2nd International Audio/Visual Emotion Challenge and Workshop facing continuous emotion representation in conjunction with 14th ACM International Conference on Multimodal Interaction (ICMI 2012), Santa Monica, CA, October 22-26, 2012. Link
• M. Kafai, B. Bhanu and L. An, "Cluster-classification Bayesian networks for head pose estimation," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• L. An, B. Bhanu and S. Yang, "Face recognition in multi-camera surveillance videos," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• L. An, M. Kafai and B. Bhanu, "Face recognition in multi-camera surveillance videos using dynamic Bayesian network," 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, Oct 30 - Nov 2, 2012. Link
• A. Cruz and B. Bhanu, "A biologically inspired approach for fusing facial expression and appearance for emotion recognition," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• A. Cruz, B. Bhanu and S. Yang, "A Psychologically Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition," First International Audio/Visual Emotion Challenge and Workshop (AVEC 2011) held in conjunction with 4th Affective Computing and Intelligent Interaction (ACII 2011), Memphis, Tennessee, October 9-12, 2011. Link
• S. Yang and B. Bhanu, "Facial expression recognition using emotion avatar image," Workshop on Facial Expression Recognition and Analysis Challenge, in conjunction with 9th IEEE Int. Conference Automatic Face and Gesture Recognition, Santa Barbara, March 21-25, 2011. Winner of the International Competition on Facial Expression Recognition. Link
• J. Yu, B. Bhanu and N. Thakoor, "Face Recognition in Video with Closed-Loop Super-resolution," IEEE Computer Society Workshop on Biometrics, June 20, 2011, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, CA, pp. 41-47, June 20-25, 2011. Link
• X. Zou, B. Bhanu and A. Roy-Chowdhury, "Continuous learning of a multi-layered network topology in a video camera network,"EURASIP Journal on Image and Video Processing, Special Issue on Video-Based Modeling, Analysis, and Recognition of Human Motion, pp. 1-19, 2009. Link
• X. Zhou and B. Bhanu, "Evaluating quality of super-resolved face images from video," IEEE Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 23-28, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution of facial images in video with expression changes," IEEE International Conference On Advanced Video and Signal Based Surveillance, Santa Fe, NM, September 1-3, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution of deformed facial images in video," IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Link
• X. Zhou and B. Bhanu, "Feature fusion for video-based human identification," Pattern Recognition, Special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, Volume 41, Issue 3, Pages 778-795, March 2008. Link
• B. Bhanu, "Human recognition at a distance," SPIE Conference on Multispectral Image Processing and Pattern Recognition, 1-6 page, November 2007. Link
• X. Zhou and B. Bhanu, "Integrating face and gait for human recognition at a distance in Video," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 37, No. 5, pp. 1119-1137, Oct. 2007. Link
• X. Zou, B. Bhanu, B. Song and A. Roy Chowdhury, "Determining Topology in a Distributed Camera Network," Proc. International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. Link
• J. Yu, B. Bhanu, Y. Xu and A. Roy Chowdhury, "Super-resolved facial texture under changing pose and illumination," Proc. International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. Link
• J. Yu and B. Bhanu, "Evolutionary feature synthesis for facial expression recognition," Pattern Recognition Letters, Special Issue on Evolutionary Computation., Volume 27, Issue 11, pp. 1289-1298, August 2006. Link
• X. Zhou and B. Bhanu, "Feature fusion of face and gait for human recognition at a distance in video," International Conference on Pattern Recognition, Vol. 4, pp. 529-532, Hong Kong, China, Aug. 21-24, 2006. Link
• J. Yu and B. Bhanu, "Super-resolution restoration of facial images in video," International Conference on Pattern Recognition, Vol. 4, pp. 342-345, Hong Kong, China, Aug. 21-24, 2006. Link
• X. Zhou and B. Bhanu, "Integrating face and gait for human recognition," IEEE Workshop on Multimodal Biometrics held in Conjunction with IEEE Conference on Computer Vision and Pattern Recognition, New York City, June 17-18, 2006. Link
• X. Zhou, B. Bhanu and J. Han, "Human recognition at a distance in video by integrating face profile and gait," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 533-543, Rye Brook, NY, July 20-22, 2005.
• X. Xhou and B. Bhanu, "Human recognition based on face profiles in video," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Link
• X. Zhou and B. Bhanu, "Face recognition from face profile using dynamic time warping," Proc. International Conference on Pattern Recognition, Vol. 4, pp. 499-502, Cambridge, UK, August 23-26, 2004. Link
• B. Bhanu, J. Yu, X, Tan and Y. Lin, "Feature synthesis using genetic programming for face expression recognition," Proc. Genetic and Evolutionary Computation Conference, pp. 896-907, Seattle, WA, June 26-30, 2004. Link
• Fingerprint
• J. Ezeobiejesi and B. Bhanu, “Patch-based latent fingerprint matching using deep learning,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• J. Ezeobiejesi and B. Bhanu, "Latent fingerprint image quality assessment using deep learning,” Biometrics Workshop in conjunction with CVPR 2018, Salt Lake City, UT, June 18, 2018. Link
• F. Pala and B. Bhanu, “On the accuracy and robustness of deep triplet embedding for fingerprint liveness detection,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. Link
• J. Ezeobiejesi and B. Bhanu, “Latent fingerprint image segmentation using fractal dimension features and weighted extreme learning machine ensemble,” IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics, Las Vegas, NV, June 26, 2016. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Predictive models for multibiometric systems," Pattern Recognition, 47(12):3779-3792, 2014. Link
• R. Wang, B. Bhanu and N. Thakoor, "Learning small gallery size for prediction of recognition performance on large populations," Pattern Recognition, June 7, 2013 (date of publication on-line). Volume 46, Issue 12, December 2013, Pages 3533-3547. Link
• X Tan, B. Bhanu and Y. Lin, "Fingerprint classification based on learned features," IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 35, No. 3, pp. 287-300, August 2005. Special Issue on Biometric Systems. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Prediction and Validation of Indexing Performance for Biometrics," International Joint Conference on Biometrics, Arlington, VA, October 11-13, 2011. Link
• X. Tan and B. Bhanu, "Fingerprint matching using genetic algorithms," Pattern Recognition, Vol. 39, No. 3, pp. 465-477, March 2006. Link
• B. Bhanu, R. Wang and X. Tan, "Predicting fingerprint recognition performance from a small gallery," Proc. Workshop on Biometrics: Challenges arising from Theory to Practice (BCTP), pp. 47-50, August 22, 2004, Cambridge, UK. Link
• B. Bhanu and X. Tan, "Computational Algorithms for Fingerprint Recognition", Kluwer International Series in Biometrics, Kluwer Academic Publishers, 2003. ISBN: 1-4020-7651-7. Front/Back Cover - Publisher Link
• B. Bhanu and X. Tan, "Fingerprint indexing based on novel features of minutiae triplets," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 5, pp. 616-622, May 2003. Link
• X. Tan and B. Bhanu, "A robust two step approach for fingerprint identification," Pattern Recognition Letters, 24, pp. 2127-2134, June 2003. Special Issue on Biometrics. Link
• X. Tan and B. Bhanu, "Fingerprint identification: classification vs. Indexing," IEEE International Conference on Advanced Video and Signal-based Surveillance, pp. 151-156, Miami, FL, July 21-22, 2003. Link
• X. Tan, B.Bhanu and Y. Lin, "Learning features for fingerprint classification," Proceedings International Conference on Audio and Video-based Biometric Person Authentication, pp. 318-326, Guildford, UK, June 9-11, 2003. Link
• X. Tan and B. Bhanu, "On the fundamental performance for fingerprint matching," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 499-504, Madison, WI, June 18-20, 2003. Link
• X. Tan, B. Bhanu, "Fingerprint matching by genetic algorithms," Proceedings GECCO Late Breaking Papers, New York City, New York, July 2002, pp. 435-442, 2002. Link
• X. Tan and B. Bhanu, "Fingerprint verification using genetic algorithms," Proceedings IEEE Workshop on Applications of Computer Vision, pp. 79-83, Orlando, Florida, December 3-4, 2002. Link
• X. Tan and B. Bhanu, "Robust Fingerprint Identification," IEEE International Conference on Image Processing, Vol. I, pp. 277-280, Rochester, New York, September 22-25, 2002. Link
• B. Bhanu and X. Tan, "Learned templates for feature extraction in fingerprint images," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 591-596, Kauai, Hawaii, December 11-13, 2001. Link
• B. Bhanu and X. Tan, "A triplet based approach for indexing of fingerprint database for identification," Proceedings Third International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 205-210, Halmstad, Sweden, June 6-8, 2001. Link
• B. Bhanu, M. Boshra and X. Tan, "Logical templates for feature extraction in fingerprint images," Proceedings International Conference on Pattern Recognition, Vol. 2, pp. 850-854, Barcelona, Spain, September 3-7, 2000. Link
• Ear
• B. Bhanu and H. Chen, "3D Ear Biometrics," in Encyclopedia of Biometrics, 8 printed pages, Edited by S.Z. Li, Springer 2009. Link
• H. Chen and B. Bhanu, "Efficient recognition of highly similar 3D objects in range images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 1, pp. 172-179, January 2009. Link
• B. Bhanu and H. Chen, "Human Ear Recognition by Computer", Springer 2008. . ISBN: 978-1-84800-128-2. Front/Back Cover - Publisher Link
• B. Bhanu, "Human recognition at a distance," SPIE Conference on Multispectral Image Processing and Pattern Recognition, November 2007, 1-6 page, 2007. Link
• H. Chen and B. Bhanu, "3D free-form object recognition in range images using local surface patches," Pattern Recognition Letters, Vol. 28, No.10, pp. 1252-1262, July 2007. Link
• H. Chen and B. Bhanu, "Human ear recognition in 3D," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 4, pp. 718-737, April 2007. Link
• H. Chen and B. Bhanu, "Human ear detection from 3D side face range images, 3D Imaging for Safety and Security," Book Chapter, A. Koschan, M. Abidi, and M. Pollefeys (Eds.), Springer, Dordrecht, The Netherlands, pp.133-155, 2007. Link
• H. Chen and B. Bhanu, "Global to local non-rigid shape registration," International Conference on Pattern Recognition, Vol. 4, pp. 57-60, Hong Kong, China, Aug. 21-24, 2006. Link
• H. Chen, B. Bhanu and R. Wang, "Performance evaluation and prediction for 3-D ear recognition," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 748-759, Rye Brook, NY, July 20-22, 2005. Link
• H. Chen and B. Bhanu, "Shape model-based 3D ear detection from side face range images," Proc. IEEE Workshop on Advanced 3D imaging for Safety and Security," San Diego, CA, June 25, 2005. Link
• H. Chen and B. Bhanu, "Contour matching for 3-D ear recognition," Proc. IEEE Workshop on Applications of Computer Vision, pp. 123-128, Breckenridge, Colorado, Jan. 5-7, 2005. Link
• H. Chen and B. Bhanu, "Human ear recognition from side face range images," Proc. International Conference on Pattern Recognition, Volume 3, pp. 574-577, Cambridge, UK, August 23-26, 2004. Link
• Expressions/Emotions
• R. Theagarajan, B. Bhanu and A. Cruz, “DeepDriver: Automated system for measuring valence and arousal in car driver videos,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• R. Theagarajan, B. Bhanu, A. Cruz, B. Le, A. Tambo, “Novel representation for driver emotion recognition in motor vehicle videos,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. Link
• S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu and Y. Liu, “A dense flow-based framework for real-time object registration under compound motion,” Pattern Recognition, Vol. 63, pp. 279-290, March 31, 2017. Link
• S. Yang, L. An, M. Kafai and B. Bhanu, “To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,” 11th IEEE International Conference on Automatic Face and Gesture Recognition, May 4-8, 2015, Ljubljana, Slovenia. Link
• A.C. Cruz, B. Bhanu and N.S. Thakoor, “One shot emotion scores for facial emotion recognition,” IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014. Link
• S. Yang, M. Kafai, L. An and B. Bhanu, "Zapping Index: Using smile to measure advertisement zapping likelihood," IEEE Transactions on Affective Computing, Vol. 5, No. 4, pp. 432-444, October-December 2014. Link
• A. Cruz, B. Bhanu and N. S. Thakoor, "Vision and attention theory based sampling for continuous facial emotion recognition," IEEE Transactions on Affective Computing, Vol. 5, No. 4, pp. 418-431, October-December 2014. Link
• A. Cruz, B. Bhanu and N. Thakoor, "Background suppressing Gabor energy filtering," Pattern Recognition Letters, 52:40-47, 2015. Link
• L. An, S. Yang and B. Bhanu, "Efficient smile detection by extreme learning machine," Neurocomputing, 149:354-363, 2014. Link
• A. Cruz, B. Bhanu and N.S. Thakoor, "Facial emotion recognition with anisotropic inhibited Gabor energy histograms," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• S. Yang, L. An, N. Thakoor and B. Bhanu, "Improving action units recognition using dense flow-based face registration in video," 10th IEEE International Conference on Automatic Face and Gesture Recognition, April 22-26, 2013, Shanghai, China. Link
• S. Yang and B. Bhanu, "Understanding discrete facial expressions in video using an emotion avatar image," IEEE Trans. on Systems, Man and Cybernetics, Part B, Special Issue, Vol. 45, No. 4, August 2012. Link
• A. Cruz, B. Bhanu and N. Thakoor, "Facial emotion recognition with expression energy," 2nd International Audio/Visual Emotion Challenge and Workshop facing continuous emotion representation in conjunction with 14th ACM International Conference on Multimodal Interaction (ICMI 2012), Santa Monica, CA, October 22-26, 2012. Link
• A. Cruz and B. Bhanu, "A biologically inspired approach for fusing facial expression and appearance for emotion recognition," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• A. Cruz, B. Bhanu and N. Thakoor, "Facial emotion recognition in continuous video," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• A. Cruz, B. Bhanu and S. Yang, "A Psychologically Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition," First International Audio/Visual Emotion Challenge and Workshop (AVEC 2011) held in conjunction with 4th Affective Computing and Intelligent Interaction (ACII 2011), Memphis, Tennessee, October 9-12, 2011. Link
• S. Yang and B. Bhanu, "Facial expression recognition using emotion avatar image," Workshop on Facial Expression Recognition and Analysis Challenge, in conjunction with 9th IEEE Int. Conference Automatic Face and Gesture Recognition, Santa Barbara, March 21-25, 2011. Winner of the International Competition on Facial Expression Recognition. Link
• J. Yu and B. Bhanu, "Super-resolution of deformed facial images in video," IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution of facial images in video with expression changes," IEEE International Conference On Advanced Video and Signal Based Surveillance, Santa Fe, NM, September 1-3, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution restoration of facial images in video," International Conference on Pattern Recognition, Vol. 4, pp. 342-345, Hong Kong, China, Aug. 21-24, 2006. Link
• J. Yu and B. Bhanu, "Evolutionary feature synthesis for facial expression recognition," Pattern Recognition Letters, Special Issue on Evolutionary Computation., Volume 27, Issue 11, pp. 1289-1298, August 2006. Link
• B. Bhanu, J. Yu, X, Tan and Y. Lin, "Feature synthesis using genetic programming for face expression recognition," Proc. Genetic and Evolutionary Computation Conference, pp. 896-907, Seattle, WA, June 26-30, 2004. Link
• Prediction
• S. Kumar, B. Bhanu, N. Thakoor and S. Ghosh, “Modeling uncertainties in performance of object recognition,” Mathematical Scientist, Vol. 40, No. 1, June 2015. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Predictive models for multibiometric systems," Pattern Recognition, 47(12):3779-3792, 2014. Link
• R. Wang, B. Bhanu and N. Thakoor, "Learning small gallery size for prediction of recognition performance on large populations," Pattern Recognition, June 7, 2013 (date of publication on-line). Volume 46, Issue 12, December 2013, Pages 3533-3547. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Prediction and Validation of Indexing Performance for Biometrics," International Joint Conference on Biometrics, Arlington, VA, October 11-13, 2011. Link
• B. Bhanu, "Human recognition at a distance," SPIE Conference on Multispectral Image Processing and Pattern Recognition, November 2007, 1-6 page, 2007. Link
• R. Wang and B. Bhanu, "Predicting fingerprint biometric performance from a small gallery," Pattern recognition Letters, Vol. 28, pp. 40-48, 2007. Link
• R. Wang and B. Bhanu, "Learning models for predicting recognition performance," International Conference on Computer Vision, Beijing, China, pp. 1613-1618, October 17-20, 2005. Link
• H. Chen, B. Bhanu and R. Wang, "Performance evaluation and prediction for 3-D ear recognition," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 748-759, Rye Brook, NY, July 20-22, 2005. Link
• R. Wang, B, Bhanu and H. Chen, "An integrated prediction model for biometrics," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 355-364, Rye Brook, NY, July 20-22, 2005. Link
• J. Han and B. Bhanu, "Performance prediction for individual recognition by gait," Pattern Recognition Letters, Vol. 26, no. 5, pp. 615-624, April 2005. Link
• B. Bhanu and J. Han, "Bayesian-based performance prediction for gait recognition," Proceedings IEEE Workshop on Human Motion and Video Computing, pp. 145-150, Orlando, Florida, December 5-6, 2002. Link
• M. Boshra and B. Bhanu, "Predicting an upper bound on SAR ATR performance," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 3, pp. 876-888, 2001. Link
• M. Boshra and B. Bhanu, "Predicting performance of object recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 956-969, 2000. Link
• M. Boshra and B. Bhanu, "Predicting object recognition performance under data uncertainty, occlusion and clutter," Proceedings IEEE International Conference on Image Processing, pp. 556-560, Chicago, Illinois, October 4-7, 1998. Link

Machine Learning

• Evolutionary Learning
• X. Zhou and B. Bhanu, "Feature fusion of side face and gait for video-based human identification," Pattern Recognition, Special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, Volume 41, Issue 3, Pages 778-795, March 2008. Link
• G. Olague, E. Romero, L. Trujillo and B. Bhanu, "Multiclass object recognition based on texture linear genetic programming," Proc. 9th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. Nominated for the Best Paper Award, pp. 291-300, 2007. Link
• K. Krawiec and B. Bhanu, "Visual learning by evolutionary feature synthesis," IEEE Transactions on Evolutionary Computation, Vol. 11, No. 5, pp. 635-650, October 2007. Link
• R. Li, B. Bhanu and K. Krawiec, "On the number of subpopulations in coevolutionary computation: a database application," Proc. ACM Genetic and Evolutionary Computation Conference, pp. 489, London, UK, July 7-11, 2007. Link
• R. Li, B. Bhanu and K. Krawiec, "Hybrid coevolutionary algorithms vs. SVM algorithms," Proc. ACM Genetic and Evolutionary Computation Conference, pp. 456-463, London, UK, July 7-11, 2007. Link
• X. Tan and B. Bhanu, "Fingerprint matching using genetic algorithms," Pattern Recognition, Vol. 39, No. 3, pp. 465-477, March 2006. Link
• J. Yu and B. Bhanu, "Evolutionary feature synthesis for facial expression recognition," Pattern Recognition Letters, Special Issue on Evolutionary Computation., Volume 27, Issue 11, pp. 1289-1298, August 2006. Link
• R. Li, B. Bhanu and A. Dong, "Coevolutionary feature synthesized EM algorithm for image retrieval," Proc. 13th ACM International Conference on Multimedia, pp. 696-705, Singapore, Nov. 6-11, 2005. Link
• Y. Lin and B. Bhanu, "Evolutionary feature synthesis for object recognition," IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, Vol. 35, No. 2, pp. 156-171, May 2005. Link
• K. Krawiec and B. Bhanu, "Visual learning by coevolutionary feature synthesis," IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 35, No. 3, pp. 409-425, June 2005. Link
• Y. Lin and B. Bhanu, "Object detection via feature synthesis using MDL-based genetic programming," IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 35, No. 3, pp. 538-547, June 2005. Link
• Y. Lin and B. Bhanu, "MDL-based genetic programming for object detection," Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003. Link
• X Tan, B. Bhanu and Y. Lin, "Fingerprint classification based on learned features," IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 35, No. 3, pp. 287-300, August 2005. Special Issue on Biometric Systems. Link
• A. Dong, B. Bhanu and Y. Lin, "Evolutionary feature synthesis for image databases," Proc. IEEE Workshop on Applications of Computer Vision, pp. 330-335, Breckenridge, Colorado, Jan. 5-7, 2005. Link
• B. Bhanu and Y. Lin, "Object detection in multimodal images using genetic programming," Applied Soft Computing Journal. Vol. 4, pp. 175-201, 2004. Link
• S. Nadimi and B. Bhanu, "Cooperative coevolution fusion for moving object detection," Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004. Link
• B. Bhanu and Y. Lin, "Synthesizing feature agents using evolutionary computation," Pattern Recognition Letters, Special Issue on Remote Sensing, Vol. 25, pp. 1519-1531, October 2004. Link
• P. Leang and B. Bhanu, "Learning integrated perception-based speed control," Proc. International Conference on Pattern Recognition, Vol. 1, pp. 813-816, Cambridge, UK, August 23-26, 2004. Link
• B. Bhanu and S. Fonder, "Functional template-based SAR image segmentation," Pattern Recognition, Vol. 37, No. 1, pp. 61-77, 2004. Link
• Y. Lin and B. Bhanu, "Learning composite features for object recognition," Genetic and Evolutionary Computation Conference, Part II, pp. 2227-2239, Chicago, IL, July 12-16, 2003. Link
• K. Krawiec and B. Bhanu, "Coevolutionary computation for synthesis of recognition systems," Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003. Link
• B. Bhanu and Y. Lin, "Learning composite operators for object detection," Proceedings Genetic and Evolutionary Computation Conference, pp. 1003-1010, New York City, New York, July 9-13, 2002. Link
• B. Bhanu and Y. Lin, "Genetic algorithm based feature selection for target detection in SAR images," Image and Vision Computing, Vol. 21, No. 7, pp. 591-608, 2003. Link
• B. Bhanu and Y. Lin, "Learning feature agents for extracting terrain regions in remotely sensed images," International Workshop on Pattern Recognition in Remote Sensing, pp. 1-6, Niagara Falls, Canada, August 16, 2002. Link
• Y. Lin and B. Bhanu, "Discovering operators and features for object detection," Proceedings International Conference on Pattern Recognition, Vol. III, pp. 339-342, Quebec City, Canada, August 11-15, 2002. Link
• B. Bhanu and K. Krawiec, "Coevolutionary construction of features by transformation of representation in machine learning," Proceedings GECCO Workshop on Understanding Coevolution: Theory and Analysis of Coevolutionary Algorithms, pp. 249-254, New York City, New York, July 9, 2002. Link
• B. Bhanu and S. Fonder, "Learning based interactive image segmentation," Proceedings International Conference on Pattern Recognition, Vol. 1, pp. 299-302, Barcelona, Spain, September 3-7, 2000. Link
• B. Bhanu, S. Lee and S. Das, "Adaptive image segmentation using genetic and hybrid search methods," IEEE Transactions Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268-1291, 1995. Link
• B. Bhanu, S. Lee and J. Ming, "Adaptive image segmentation using a genetic algorithm," IEEE Transactions on Systems, Man and Cybernetics, Vol. 25, No. 12, pp. 1543-1567, 1995. Link
• Reinforcement Learning
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Reinforcement learning for combining relevance feedback techniques in image retrieval," International Conference on Computer Vision, pp. 510-515, Nice, France, Oct. 13-16, 2003. Link
• B. Bhanu, Y. Lin, G. Jones and J. Peng, "Adaptive target recognition," International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 289-299, 2000. Link
• J. Peng and B. Bhanu, "Learning to Perceive Objects for Autonomous Recognition," Autonomous Robots, Vol. 6, pp. 187-201, 1999. Link
• J. Peng and B. Bhanu, "Closed loop object recognition using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998. Link
• J. Peng and B. Bhanu, "Delayed reinforcement learning for adaptive image segmentation and feature extraction," IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 3, pp. 482-488, 1998. Link
• B. Bhanu, Y. Lin, G. Jones, J. Peng, "Adaptive target recognition using reinforcement learning," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1177-1180, 1998. Link
• J. Peng and B. Bhanu, "Local reinforcement learning for object recognition," Proceedings International Conference on Pattern Recognition, pp. 272-274, Brisbane, Australia, August 17-20, 1998. Link
• J. Peng and B. Bhanu, "Closed loop object recognition using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998. Link
• J. Peng and B. Bhanu, "Delayed reinforcement learning for closed-loop object recognition," Proceedings 13th International Conference on Pattern Recognition, Vol. 4, 310-314, Vienna, Austria, August 25-30, 1996. Link
• Deep/Online Learning
• R. Li and B. Bhanu, “Role of cycle consistency for generating better human action videos from a single frame,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. (Accepted June 20, 2020). Link
• R. Theagarajan, B. Bhanu, T. Erpek, Y-K. Hue, R. Schwieterman, K. Davaslioglu, Y. Shi, Y.E. Sagduyu, “Integrating deep learning-based data driven and model-based approaches for ISAR target recognition,” Optical Engineering, Special Issue on Machine Learning in Optics, 2020. Link
• W. Liu, R. Li, M. Zheng, S. Karanam, Z. Wu, B. Bhanu, R.J. Radke, O. Camps, “Towards visually explaining variational autoencoders,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, June 14-19, 2020. (Oral presentation, 6% accepted out of 6680 submissions). Link
• R. Theagarajan and B. Bhanu, “Defending black box facial recognition classifiers against adversarial attacks,” 15th IEEE Computer Society Workshop on Biometrics in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, June 14-19, 2020. Link
• P. Jonnalagedda, D. Schmolze and B. Bhanu, “MVPNets: Multi-Viewing path deep learning neural networks for magnification invariant diagnosis in breast cancer,” The 18th IEEE International Conference on BioInformatics and BioEngineering, October 29-31, 2018. Link
• R. Theagarajan, B. Bhanu, D. Angeles and F. Pala, “KnowPain: Automated system for detecting pain in neonates from videos,” The 18th IEEE International Conference on BioInformatics and BioEngineering, October 29-31, 2018. Link
• F. Jiao and B. Bhanu, “DEEPAGENT: An algorithm integration approach for person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• J. Ezeobiejesi and B. Bhanu, “Patch-based latent fingerprint matching using deep learning,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• X. Zhang and B. Bhanu, “An unbiased temporal representation for video-based person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• A. Witmer and B. Bhanu, “HESCNET: A synthetically pre-trained convolutional neural network for human embryonic stem cell colony classification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• A. Witmer and B. Bhanu, “Multi-label classification of stem cell microscopy images using deep learning,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• R. Theagarajan, B. Bhanu and A. Cruz, “DeepDriver: Automated system for measuring valence and arousal in car driver videos,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• R. Theagarajan, B. Guan and B. Bhanu, “DeephESC: An automated system for generating and classification of human embryonic stem cells,” International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018. Link
• R. Theagarajan, F. Pala, X. Zhang and B. Bhanu, “Soccer: Who has the ball? Generating visual analytics and player statistics,” 4th International Workshop on Computer Vision in Sports (CVsports) in conjunction with CVPR 2018, Salt Lake City, UT, June 22, 2018. Link
• J. Ezeobiejesi and B. Bhanu, "Latent fingerprint image quality assessment using deep learning,” Biometrics Workshop in conjunction with CVPR 2018, Salt Lake City, UT, June 18, 2018. Link
• F. Pala and B. Bhanu, “On the accuracy and robustness of deep triplet embedding for fingerprint liveness detection,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. Link
• R. Theagarajan, B. Bhanu, A. Cruz, B. Le, A. Tambo, “Novel representation for driver emotion recognition in motor vehicle videos,” International Conference on Image Processing, September 17-20, 2017, Beijing, China. Link
• X. Zhang, F. Pala and B. Bhanu, “Attributes co-occurrence pattern mining for video-based person re-identification,” 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, August 29 – Sept. 1, 2017, Lecce, Italy. Link
• R. Theagarajan, F. Pala and B. Bhanu, “EDeN: Ensemble of deep networks for vehicle classification,” Traffic Surveillance Workshop and Challenge (TSWC-2017) held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, July 21, 2017, Honolulu, HI. Link
• F. Pala and B. Bhanu, “Iris liveness detection by relative distance comparisons,” IEEE Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, July 21, 2017. Honolulu, HI. Link
• X. Chen, Z. Qin, L. An and B. Bhanu, “Multi-person tracking by online learned grouping model with non-linear motion context,” IEEE Trans. on Circuits and Systems for Video Technology, Issue 99, December 2016. Link
• N. Thakoor and B. Bhanu, “Selective experience replay in reinforcement learning for re-identification,” IEEE International Conference on Image Processing, Phoenix, AZ, September 25-28, 2016. Link 1 Link 2
• N. S. Thakoor, S. Sunderrajan, L. An, B. Bhanu and B.S. Manjunath, “People tracking in camera networks: Three open questions,” IEEE Computer, Vol. 48, No. 3, pp. 78-86, March 2015. Link
• X. Chen, L. An, Q. Zhen and B. Bhanu, "An online learned elementary grouping model for multi-target tracking," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Link
• N. Thakoor and B. Bhanu, "Context-aware reinforcement learning for re-identification in a video network," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• Bayesian Learning
• M. Kafai and B. Bhanu, "Dynamic Bayesian networks for vehicle classification in video," IEEE Transactions on Industrial Informatics, Vol 8, No. 1, pp 100-109, Feb, 2012. Link
• N. Ghosh, B. Bhanu, "Unsupervised learning for incremental 3-D modeling," AAAI Workshop on Learning in Computer Vision held in conjunction with 20th AAAI National Conference on Artificial Intelligence, Proc. Working Notes, Pittsburgh, PA, July 2005, 16-20, 2005. Link
• X. Zou, B. Bhanu and A. Roy-Chowdhury, "Continuous learning of a multi-layered network topology in a video camera network,"EURASIP Journal on Image and Video Processing, Special Issue on Video-Based Modeling, Analysis, and Recognition of Human Motion, pp. 1-19, 2009. Link
• N. Ghosh, B. Bhanu, and G. Denina, "Continuously evolvable Bayesian nets for human action analysis in videos," Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Link
• N. Ghosh and B. Bhanu, "How current BNs fail to represent evolvable pattern recognition problems and a proposed solution," International Conference on Pattern Recognition, Tampa, FL, December 8-11, 2008. Link
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Integrating relevance feedback techniques for image retrieval using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1536-1551, Oct. 2005. Link
• J. Peng and B. Bhanu, "Feature relevance estimation for image databases," Proceedings Fifth International Workshop on Multimedia Information Systems (MIS'99), pp. 12-19, in Advances in Multimedia Information Systems, Edited by L. Golubchik and V.J. Tsotras, Indian Wells, California, October 21-23, 1999. Link
• J. Peng, B. Bhanu and S. Qing, "Probabilistic feature relevance learning for content-based image retrieval," Computer Vision and Image Understanding, Vol. 75, No. 1/2, pp. 150-164, 1999. (Special Issue of Content-Based Access of Image and Video Libraries) Link
• J. Peng, B. Bhanu, Y. Zeng, "Probabilistic feature relevance learning for online indexing," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1171-1176, 1998. Link
• Concept/Active Learning
• A. Dong and B. Bhanu, "Active concept Learning in image databases," IEEE Trans. on Systems, Man and Cybernetics, Part B, Vol. 35, No. 3, pp. 450-456, June 2005. Link
• A. Dong and B. Bhanu, "On labeling noise and outliers for robust concept learning for image databases," Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004. Link
• A. Dong and B. Bhanu, "Active Concept Learning for Image Retrieval in Dynamic Databases," International Conference on Computer Vision, pp. 90-95, Nice, France, Oct. 13-16, 2003. Link
• A. Dong and B. Bhanu, "Concept learning and transplantation for dynamic image databases," IEEE International Conference on Multimedia and Expo, pp. 765-768, Baltimore, MD, July 6-9, 2003. Link
• J. Liu and B. Bhanu, "Learning semantic visual concepts from video," Proceedings International Conference on Pattern Recognition, Vol. II, 1061-1064, Quebec City, Canada, August 11-15, 2002. Link
• B. Bhanu and A. Dong, "Concept learning with fuzzy clustering and relevance feedback," Engineering Applications of Artificial Intelligence, Vol. 15, No. 2, pp. 123-138, 2002. Link
• B. Bhanu and X. Tan, "Learned templates for feature extraction in fingerprint images," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 591-596, Kauai, Hawaii, December 11-13, 2001. Link
• B. Bhanu and A. Dong, "Exploitation of meta knowledge for learning visual concepts," IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 81-88, Kauai, Hawaii, December 14, 2001. Link
• M. Boshra, B. Bhanu, "Validation of SAR ATR performance predictions using learned distortion models," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol. 4053, Orlando, Florida, April 2000, pp. 558-566, 2000. Link
• J. Peng and B. Bhanu, "Local discriminative learning for pattern Recognition," Pattern Recognition, Vol. 34, No. 1, pp. 139-150, 2001. Link
• J. Ming and B. Bhanu, "ORACLE: An integrated learning approach for object recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 6, pp. 961-990, 1997. Link
• Swarm Learning
• H. Nguyen and B. Bhanu, "Real-Time pedestrian tracking with bacterial foraging optimization," 9th IEEE International Conference on Advanced Video and Signal-based Surveillance, Beijing, China, 18-21 September 2012. Link
• H. Nguyen and B. Bhanu, "Zombie survival optimization: A swarm intelligence algorithm inspired by zombie foraging," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• H. T. Nguyen and B. Bhanu, "Tracking Pedestrians with Bacterial Foraging Optimization Swarms," IEEE Congress on Evolutionary Computation, New Orleans, June 5-8, 2011. Link
• X. Zou, B. Bhanu and A. Roy-Chowdhury, "Continuous learning of a multi-layered network topology in a video camera network,"EURASIP Journal on Image and Video Processing, Special Issue on Video-Based Modeling, Analysis, and Recognition of Human Motion, pp. 1-19, 2009. Link
• H. Nguyen and B. Bhanu, "Tracking multiple objects in non-stationary video," ACM Genetic and Evolutionary Computation Conference, Montreal, Canada, July 8-12, 2009. The paper is Nominated for the Best Paper Award. Link
• Miscellaneous Learning
• X. Jia, Y. Jin, N. Li, X. Su, B. Cardiff and B. Bhanu, “Words alignment based on association rules for cross-domain sentiment classification,” Frontier of Information Technology & Electronic Engineering, 19(2), pp. 260-272, 2018, Springer. Link
• A. Zahedi, V. On, R. Phandthong, A. Chaili, G. Remark, B. Bhanu, P. Talbot, “Deep analysis of mitochondria and cell health using machine learning" Nature Scientific Reports, 2018. Link
• L. Feng and B. Bhanu, “Semantic concept co-occurrence patterns for image annotation and retrieval,” 3rd Workshop on Web-scale Vision and Social Media (VSM),” in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Link
• L. An, X. Chen, M. Kafai, S. Yang and B. Bhanu, "Improving person re-identification by soft biometrics based re-ranking," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• Z. Jin ad B. Bhanu, "Optimizing crowd simulation based on real video data," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• J. Ezeobiejesi and B. Bhanu, “Latent fingerprint image segmentation using fractal dimension features and weighted extreme learning machine ensemble,” IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics, Las Vegas, NV, June 26, 2016. Link
• L. An and B. Bhanu, "Image super-resolution by extreme learning machine," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• Z. Jin and B. Bhanu, "Single camera multi-person tracking based on crowd simulation," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• Z. Jin and B. Bhanu, "Integrating crowd simulation for pedestrian tracking in a multi-camera system," 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, Oct 30 - Nov 2, 2012. Link
• Y. Li and B. Bhanu, "Utility-based dynamic camera assignment and hand-off in a video network," International Conference on Distributed Smart Cameras, Stanford University, September 7-11, 2008. (Best Paper Award of the Conference) Link
• X. Zou and B. Bhanu, "Tracking humans using multimodal fusion," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Link
• Y.J. Zheng and B. Bhanu, "Adaptive object detection based on modified Hebbian learning," Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 164-168, Vienna, Austria, August 25-30, 1996. Link
• S. Rong and B. Bhanu, "Enhancing a self-organizing map through near-miss injection," Proceedings World Congress on Neural Networks (Annual Meeting of the International Neural Networks Society), pp. I552-I556, Washington, DC, July 17-21, 1995. Link

Object Recognition

• Targets/Objects
• R. Theagarajan, B. Bhanu, T. Erpek, Y-K. Hue, R. Schwieterman, K. Davaslioglu, Y. Shi, Y.E. Sagduyu, “Integrating deep learning-based data driven and model-based approaches for ISAR target recognition,” Optical Engineering, Special Issue on Machine Learning in Optics, 2020. Link
• R. Theagarajan, N.S. Thakoor and B. Bhanu, “Physical and visual features for vehicle classification from rear view videos,” IEEE Transactions on Intelligent Transportation Systems, (in Press) Link
• S. Tian, C. Wang, H. Zhang, B. Bhanu, “SAR object classification using the denoising auto-encoder with a modified triplet restriction,” IET Radar, Sonar & Navigation, (in Press) Link
• Y. Chen, Z. Li, B. Bhanu, D. Tang, Q. Peng, Q. Zhang, “Improve transmission by designing filters for image dehazing,” 3rd IEEE International Conference on Image, Vision and Computing, June 27-29, 2018, Chongqing, China. Link
• Z. Jin and B. Bhanu, “Pedestrian tracking with crowd simulation models in a multi-camera system,” Computer Vision and Image Understanding, Vol. 134, pp. 48-63, April 2015. Link
• X. Chen and B. Bhanu, "Soft biometrics integrated multi-target tracking," 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. Link
• X. Chen, L. An, Q. Zhen and B. Bhanu, "An online learned elementary grouping model for multi-target tracking," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Link
• N. Thakoor and B. Bhanu, "Context-aware reinforcement learning for re-identification in a video network," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• L. An, X. Chen, M. Kafai, S. Yang and B. Bhanu, "Improving person re-identification by soft biometrics based re-ranking," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• X. Chen, L. An and B. Bhanu, "Reference set based appearance model for tracking across non-overlapping cameras," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• Z. Jin and B. Bhanu, "Single camera multi-person tracking based on crowd simulation," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• Z. Jin and B. Bhanu, "Integrating crowd simulation for pedestrian tracking in a multi-camera system," 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, Oct 30 - Nov 2, 2012. Link
• B. Bhanu, R. Li, J. Heraty and E. Murray, "Automated classification of skippers based on parts representation," American Entomologist, pp. 228-231, December 2008. Link
• K. Krawiec and B. Bhanu, "Visual learning by evolutionary feature synthesis," IEEE Transactions on Evolutionary Computation, Vol. 11, No. 5, pp. 635-650, October 2007. Link
• R. Wang and B. Bhanu, "Learning models for predicting recognition performance," International Conference on Computer Vision, Beijing, China, pp. 1613-1618, October 17-20, 2005. Link
• K. Krawiec and B. Bhanu, "Visual learning by coevolutionary feature synthesis," IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 35, No. 3, pp. 409-425, June 2005. Link
• Y. Lin and B. Bhanu, "Evolutionary feature synthesis for object recognition," IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, Vol. 35, No. 2, pp. 156-171, May 2005. Link
• S. Nadimi and B. Bhanu, "Cooperative coevolution fusion for moving object detection," Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004. Link
• S. Nadimi and B. Bhanu, "Physical models for moving shadow and object detection in video," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp. 1079-1087, August 2004. Link
• B. Bhanu and G. Jones III, "Multiple look angle SAR recognition," International Journal of Imaging and Graphics, Vol. 4, No. 1, pp. 85-98, January 2004. Link
• B. Bhanu and Y. Lin, "Object detection in multimodal images using genetic programming," Applied Soft Computing Journal. Vol. 4, pp. 175-201, 2004. Link
• B. Bhanu and Y. Lin, "Stochastic models for recognition of occluded targets," Pattern Recognition, Vol. 36, No. 12, pp. 2855-2873, December 2003. Link
• K. Krawiec and B. Bhanu, "Coevolution and linear genetic programming for visual learning," Genetic and Evolutionary Computation Conference, Part I, pp. 332-343, Chicago, IL, July 12-16, 2003. Link
• Y. Lin and B. Bhanu, "Learning composite features for object recognition," Genetic and Evolutionary Computation Conference, Part II, pp. 2227-2239, Chicago, IL, July 12-16, 2003. Link
• K. Krawiec and B. Bhanu, "Visual learning by evolutionary feature synthesis," International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003. Link
• K. Krawiec and B. Bhanu, "Coevolutionary computation for synthesis of recognition systems," Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003. Link
• B. Bhanu, K. Krawiec, "Coevolving feature extraction agents for target recognition in SAR images," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, 5095, Orlando. FL, 275-283, April 2003. Link
• B. Bhanu, G. Jones, R. Wang, "Composite class models for SAR recognition," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, 5095, Orlando, Florida, April 2003, 284-291, 2003. Link
• E. Hong, B. Bhanu, G. Jones and X. Qian, "Performance modeling of vote-based object recognition," SPIE Conference Proceedings Radar Sensor Technology IX, 5077, Orlando. FL, April 2003, 157-166, 2003. Link
• B. Bhanu and Y. Lin, "Genetic algorithm based feature selection for target detection in SAR images," Image and Vision Computing, Vol. 21, No. 7, pp. 591-608, 2003. Link
• B. Bhanu and G. Jones, "Increasing the discrimination of SAR recognition models," Optical Engineering, Vol. 41, No. 12, pp. 3298-3306, December 2002. Link
• Y. Lin and B. Bhanu, "Discovering operators and features for object detection," Proceedings International Conference on Pattern Recognition, Vol. III, pp. 339-342, Quebec City, Canada, August 11-15, 2002. Link
• B. Bhanu, G. Jones, "Exploiting azimuthal variance of scatterers for multiple look SAR recognition," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery IX, Vol. 4727, Orlando, Florida, April 2002, pp. 290-298, 2002. Link
• B. Bhanu, Y. Lin and S. Wang, "Feature selection for target detection in SAR images," Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, Kauai, Hawaii, December 14, 2001. Link
• S. Nadimi and B. Bhanu, "Multistrategy fusion using mixture model for moving object detection," Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001. Link
• M. Boshra and B. Bhanu, "Predicting an upper bound on SAR ATR performance," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 3, pp. 876-888, 2001. Link
• G. Jones and B. Bhanu, "Recognizing occluded objects in SAR images," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 316-328, 2001. Link
• B. Bhanu and Y. Lin, "Recognition of occluded objects using stochastic models," Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 73-82, Hilton Head, South Carolina, June 16, 2000. Link
• B. Bhanu and G. Jones III, "Object recognition results using MSTAR synthetic aperture radar data," Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 55-62, Hilton Head, South Carolina, June 16, 2000. Link
• B. Bhanu and G. Jones, "Recognizing target variants and articulations in synthetic aperture radar images," Optical Engineering, Vol. 39, No. 3, pp. 712-723, 2000. Link
• B. Bhanu, Y. Lin, G. Jones and J. Peng, "Adaptive target recognition," International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 289-299, 2000. Link
• M. Boshra and B. Bhanu, "Predicting performance of object recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 956-969, 2000. Link
• M. Boshra and B. Bhanu, "Performance prediction and validation for object recognition," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 380-386, Fort Collins, Colorado, June 23-25, 1999. Link
• G. Jones and B. Bhanu, "Quasi-invariants for recognition of articulated and non-standard objects in SAR images," Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 88-97, Fort Collins, Colorado, June 22, 1999 Link
• M. Boshra, B. Bhanu, "Bounding SAR ATR performance based on model similarity," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, Orlando, Florida, April 1999, pp. 716-729, 1999. Link
• B. Bhanu, G. Jones, "Recognizing MSTAR target variants and articulations," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, Orlando, Florida, April 1999, pp. 507-519, 1999. Link
• G. Jones and B. Bhanu, "Recognition of articulated and occluded objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 7, pp. 603-613, 1999. Link
• G. Jones and B. Bhanu, "Recognizing articulated targets in SAR images," Pattern Recognition, Vol. 34, No. 2, pp. 469-485, 2001. Link
• B. Bhanu and J. Ahn, "A system for model-based recognition of articulated objects," Proceedings International Conference on Pattern Recognition, pp. 1812-1815, Brisbane, Australia, August 17-20, 1998. Link
• J. Peng and B. Bhanu, "Closed loop object recognition using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998. Link
• B. Bhanu, G. Jones III, J. Ahn, "Recognizing articulated objects and object articulation in SAR images," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery V, Vol. 3370, Orlando, Florida, April 1998, pp. 493-505, 1998. Link
• G. Jones, B. Bhanu, "Invariants for the recognition of articulated and occluded objects in SAR images," Proceedings DARPA Image Understanding Workshop, New Orleans, Louisiana, May 1997, pp. 1135-1144, 1997. Link
• S. Das and B. Bhanu, "A system for model-based object recognition in perspective aerial images," Pattern Recognition, Vol. 31, No. 4, pp. 465-491, 1998. Link
• M. Boshra, B. Bhanu, "Bounding fundamental performance of feature-based object recognition," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1155-1162, 1998. Link
• G. Jones III, B. Bhanu, J. Guo, "Geometrical and magnitude invariants for recognition of articulated and non-standard objects in MSTAR images," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1163-1170, 1998. Link
• G. Sudhir, B. Bhanu, "Interactive target recognition using a database-retrieval oriented approach," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1149-1154, 1998. Link
• M. Boshra, B. Bhanu, "Performance modeling of feature-based classification in SAR imagery," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery, V, Vol. 3370, Orlando, Florida, April 1998, pp. 661-674, 1998. Link
• M. Boshra and B. Bhanu, "Predicting object recognition performance under data uncertainty, occlusion and clutter," Proceedings IEEE International Conference on Image Processing, pp. 556-560, Chicago, Illinois, October 4-7, 1998. Link
• B. Bhanu and G. Jones, "Target recognition for articulated and occluded objects in synthetic aperture radar imagery," Proceedings IEEE Radar Conference, pp. 245-250, Dallas, Texas, May 12-13, 1998. Link
• X. Wu and B. Bhanu, "Gabor wavelet representation for 3-D object recognition," IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 47-64, 1997. Link
• B. Bhanu and B. Tian, "Stochastic models for recognition of articulated objects," Proceedings IEEE International Conference on Image Processing, pp. 847-850, Santa Barbara, California, October 26-29, 1997. Link
• J. Yi, B. Bhanu and M. Li, "Target indexing in SAR images using scattering centers and Hausdorff distance," Pattern Recognition Letters, Vol. 17, pp. 1191-1198, 1996. Link
• S. Das, B. Bhanu and C. C. Ho, "Generic object recognition using multiple representations," Image and Vision Computing, Vol. 14, pp. 323-338, 1996. Link
• Y.-J. Zheng and B. Bhanu, "Adaptive object detection from multisensor data," Proceedings IEEE International Conference on Multisensor Fusion and Integration of Intelligent Systems, pp. 633-640, Washington, DC, December 8-11, 1996. Link
• S. Zhang and B. Bhanu, "Automatic model construction for object recognition using ISAR images," Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 169-173, Vienna, Austria, August 25-30, 1996. Link
• S. Rong and B. Bhanu, "Modeling clutter and context for target detection in infrared images," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 106-113, San Francisco, California, June 16-20, 1996. Link
• N. Braithwaite and B. Bhanu, "Composite phase and phase-based Gabor element aggregation," Proceedings IEEE International Conference on Image Processing, pp. 538-541, Washington, DC, October 22-25, 1995. Link
• N. Braithwaite and B. Bhanu, "Error bound for multi-stage synthesis of narrow bandwidth Gabor filters," Proceedings IEEE International on Conference Image Processing, pp. 33-36, Washington, DC, October 22-25, 1995. Link
• X. Wu and B. Bhanu, "Gabor wavelets for 3-D object recognition," Proceedings Fifth International Conference on Computer Vision, pp. 537-542, Massachusetts Institute of Technology, Cambridge, Massachusetts, June 20-23, 1995. Link
• S. Das, B. Bhanu, X. Wu and R. N. Braithwaite, "A system for aircraft recognition in perspective aerial images," Proceedings 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, pp. 168-175, Florida, December 5-7, 1994. Link
• B. Bhanu and S. Rong, "Background modeling for target detection and recognition," Proceedings 5th Annual Ground Target Modeling and Validation Conference, pp. 11-20, Houghton, Michigan, August 23-25, 1994. Link
• S. Das, B. Bhanu and C-C. Ho, "Generic object recognition using CAD-based multiple representations," Proceedings Second IEEE Workshop on CAD-Based Vision, pp. 202-209, Champion, Pittsburgh, Pennsylvania, February 1994. Link
• N. Braithwaite and B. Bhanu, "Hierarchical Gabor filters for object detection in infrared images," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 628-631, Seattle, Washington, June 20-23, 1994. Link
• B. Bhanu, T. Jones, "Image understanding research for automatic target recognition," Proceedings DARPA Image Understanding Workshop, San Diego, California, January 1992, pp. 249-254, 1992. Link
• B. Bhanu and J. Ming, "Recognition of occluded objects: A cluster-structure algorithm," Pattern Recognition, Vol. 20, No. 2, pp. 199-211, 1987. Link
• B. Bhanu and D. Panda, "Knowledge-based robust target recognition and tracking," Proceedings AI Technology Symposium, pp. 1-8, Honeywell Systems and Research Center, Minneapolis, Minnesota, June 9, 1987. Link
• B. Bhanu, "Automatic target recognition: State-of-the-art survey," IEEE Transactions on Aerospace and Electronic Systems, AES Vol. 22, No. 4, pp. 364-379, 1986. Link
• B. Bhanu and J. Ming, "Clustering based recognition of occluded objects," Proceedings 8th International Conference on Pattern Recognition, pp. 732-734, Paris, France, October 1986. Link
• B. Bhanu and J. Ming, "Recognition of occluded objects: A cluster-structure paradigm," Proceedings IEEE International Conference on Robotics and Automation, pp. 776-781, San Francisco, California, April 7-10, 1986. Link
• B. Bhanu and O. Faugeras, "Shape matching of two-dimensional objects," In R. Chellappa and S. Sawchuk, (Eds.), Digital Image Processing and Analysis: Vol. 2, Analysis pp. 156-175, IEEE Press Book. Link
• B. Bhanu, ''Evaluation of automatic target recognition algorithms,'' Proceedings SPIE Conference on Architecture and Algorithms for Digital Image Proceedings, Vol. 435, San Diego, California, August 1983, pp. 18-27, 1983. Link
• B. Bhanu, T. Politopoulos and B. A. Parvin, "Intelligent auto cueing of tactical targets in FLIR images," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 502-503, Washington, DC, June 19-23, 1983. Link
• B. Bhanu, "Recognition of occluded objects," Proceedings 8th International Joint Conference on Artificial Intelligence, pp. 1136-1138, IJCAI-83, Karlsruhe, West Germany, August 8-12, 1983. Link
• B. Bhanu and O. Faugeras, "Shape matching of 2-D objects using a hierarchical stochastic labeling technique," Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 688-690, Las Vegas, Nevada, June 13-17, 1982. Link
• B. Bhanu, "Shape matching of two-dimensional occluded objects," Proceedings 6th International Conference on Pattern Recognition, pp. 742-744, Munich, West Germany, October 19-22, 1982. Link
• B. Bhanu and O. Faugeras, "Recognition of occluded two dimensional objects," Proceedings 2nd Scandinavian Conference on Image Analysis, pp. 72-77, Helsinki, Finland, June 15-17, 1981. Link
• O. Faugeras and B. Bhanu, "Reconnaissance de formes planes par une methode hierarchique d?etiquetage probabiliste," Proceedings AFCET. 3eme Congres, Reconnaissance des Formes et Intelligence Artificielle, pp. 425-435, Nancy, France, September 16-18, 1981. Link
• Segmentation
• X. Zhang, F. Pala and B. Bhanu, “Attributes co-occurrence pattern mining for video-based person re-identification,” 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, August 29 – Sept. 1, 2017, Lecce, Italy. Link
• A. Tambo and B. Bhanu, “Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving,” IEEE Trans. on Image Processing, 2016. Link 1 - Link 2
• L. Feng and B. Bhanu, “Semantic concept co-occurrence patterns for image annotation and retrieval,” 3rd Workshop on Web-scale Vision and Social Media (VSM),” in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Link
• A.L. Tambo and B. Bhanu, “Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video,” IEEE International Conference on Image Processing, September 27-30, 2015, Quebec, Canada. Link
• Q. Li, Z. Qin, L. Chai, H. Zhang, J. Guo and B. Bhanu, "Representative reference-set and betweenness centrality for scene image categorization," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• Q. Li, H. Zhang, J. Guo, B. Bhanu, and Le An, "Reference-based scheme combined with K-SVD for scene image categorization," IEEE Signal Processing Letters, Vol. 20, No. 1, January 2013. Link
• Q. Li, H. Zhang, J. Guo, L. An and B. Bhanu, "Codebook optimization using word activation forces for scene categorization," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• Y. Sun and B. Bhanu, "Reflection symmetry integrated image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 34, No. 9, pp. 1827-1841, September 2012. Link
• Y. Sun and B. Bhanu, "Symmetry Integrated Region-based Image Segmentation," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. Link
• Y. Sun, B. Bhanu and S. Bhanu, "Automatic symmetry-integrated brain injury detection in MRI sequences," IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, June 20, 2009, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. Link
• B. Bhanu and S. Fonder, "Functional template-based SAR image segmentation," Pattern Recognition, Vol. 37, No. 1, pp. 61-77, 2004. Link
• B. Bhanu and Y. Lin, "Synthesizing feature agents using evolutionary computation," Pattern Recognition Letters, Special Issue on Remote Sensing, Vol. 25, pp. 1519-1531, October 2004. Link
• S. Nadimi and B. Bhanu, "Moving shadow detection using a physics-based approach," Proceedings International Conference on Pattern Recognition, Vol. II, pp. 701-704, Quebec City, Canada, August 11-15, 2002. Link
• B. Bhanu and J. Peng, "Adaptive integrated image segmentation and object recognition," IEEE Transactions on Systems, Man and Cybernetics- Part C, Vol. 30, No. 4, pp. 427-441, 2000. Link
• B. Bhanu and S. Fonder, "Learning based interactive image segmentation," Proceedings International Conference on Pattern Recognition, Vol. 1, pp. 299-302, Barcelona, Spain, September 3-7, 2000. Link
• J. Peng and B. Bhanu, "Closed loop object recognition using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998. Link
• J. Peng and B. Bhanu, "Delayed reinforcement learning for adaptive image segmentation and feature extraction," IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 3, pp. 482-488, 1998. Link
• J. Peng and B. Bhanu, "Learning Integrated Image Segmentation and Object Recognition," Vision Interface, Vancouver, British Columbia, June 18-20, 1998. Link
• B. Bhanu, P. Symosek and S. Das, "Analysis of terrain using multispectral images," Pattern Recognition, Vol. 30, No. 2, pp. 197-215, 1997. Link
• B. Bhanu, S. Lee and S. Das, "Adaptive image segmentation using genetic and hybrid search methods," IEEE Transactions Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268-1291, 1995. Link
• B. Bhanu, S. Lee and J. Ming, "Adaptive image segmentation using a genetic algorithm," IEEE Transactions on Systems, Man and Cybernetics, Vol. 25, No. 12, pp. 1543-1567, 1995. Link
• B. Bhanu, S. Lee and S. Das, "Adaptive image segmentation using multi-objective evaluation and hybrid search methods," Proceedings AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How?, pp. 30-34, Raleigh, North Carolina, October 22-24, 1993. Link
• B. Bhanu, S. Lee and J. Ming, "Self-optimizing image segmentation using a genetic algorithm," Proceedings 4th International Conference on Genetic Algorithms, pp. 362-369, San Diego, California, July 1991. (Plenary Presentation) Link
• B. Bhanu, J. Ming and S. Lee, "Closed-loop adaptive image segmentation," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 734-735, Maui, Hawaii, June 1991. Link
• B. Bhanu, B. Hutchings and K. Smith, "VLSI design and implementation of a real-time image segmentation processor," International Journal of Machine Vision and Applications, Vol. 3, No. 1, pp. 21-44, 1990. Link
• B. Bhanu and R. Holben, "Model-based segmentation of FLIR images," IEEE Transactions on Aerospace and Electronic Systems, Vol. 26, No. 1, pp. 2-11, 1990. Link
• B. Bhanu and R. Holben, "Model-based segmentation of FLIR images," IEEE Transactions on Aerospace and Electronic Systems, Vol. 26, No. 1, pp. 2-11, 1990. Link
• B. Bhanu and B. Parvin, "Segmentation of natural scenes," Pattern Recognition, Vol. 20, No. 5, pp. 487-496, 1987. Link
• B. Parvin and B. Bhanu, "Segmentation of images using a relaxation technique," Proceedings IEEE Conference Computer on Vision and Pattern Recognition, pp. 151-153, Washington, DC, June 19-23, 1983. Link
• B. Bhanu and O. Faugeras, "Segmentation of images having unimodal distributions," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 4, No. 4, pp. 408-419, 1982. Link
• B. Bhanu, "Segmentation of images using a gradient relaxation technique," Proceedings 6th International Conference on Pattern Recognition, pp. 915-917, Munich, West Germany, October 19-22, 1982. Link
• Prediction
• S. Kumar, B. Bhanu, N. Thakoor and S. Ghosh, “Modeling uncertainties in performance of object recognition,” Mathematical Scientist, Vol. 40, No. 1, June 2015. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Predictive models for multibiometric systems," Pattern Recognition, 47(12):3779-3792, 2014. Link
• R. Wang, B. Bhanu and N. Thakoor, "Learning small gallery size for prediction of recognition performance on large populations," Pattern Recognition, June 7, 2013 (date of publication on-line). Volume 46, Issue 12, December 2013, Pages 3533-3547. Link
• S. Kumar, B. Bhanu, S. Ghosh and N. Thakoor, "Prediction and Validation of Indexing Performance for Biometrics," International Joint Conference on Biometrics, Arlington, VA, October 11-13, 2011. Link
• R. Wang and B. Bhanu, "Predicting fingerprint biometric performance from a small gallery," Pattern recognition Letters, Vol. 28, pp. 40-48, 2007. Link
• R. Wang and B. Bhanu, "On the Performance Prediction and Validation for Multisensor Fusion," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-6, Minneapolis, MN, June 17-22, 2007. Link
• R. Wang and B. Bhanu, "Learning models for predicting recognition performance," International Conference on Computer Vision, Beijing, China, pp. 1613-1618, October 17-20, 2005. Link
• J. Han and B. Bhanu, "Performance prediction for individual recognition by gait," Pattern Recognition Letters, Vol. 26, no. 5, pp. 615-624, April 2005. Link
• E. Hong, B. Bhanu, G. Jones and X. Qian, "Performance modeling of vote-based object recognition," SPIE Conference Proceedings Radar Sensor Technology IX, 5077, Orlando. FL, April 2003, 157-166, 2003. Link
• M. Boshra and B. Bhanu, "Predicting an upper bound on SAR ATR performance," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 3, pp. 876-888, 2001. Link
• M. Boshra and B. Bhanu, "Predicting performance of object recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 956-969, 2000. Link
• M. Boshra, B. Bhanu, "Validation of SAR ATR performance predictions using learned distortion models," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol. 4053, Orlando, Florida, April 2000, pp. 558-566, 2000. Link
• M. Boshra and B. Bhanu, "Performance prediction and validation for object recognition," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 380-386, Fort Collins, Colorado, June 23-25, 1999. Link
• M. Boshra, B. Bhanu, "Bounding SAR ATR performance based on model similarity," Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, Orlando, Florida, April 1999, pp. 716-729, 1999. Link
• M. Boshra and B. Bhanu, "Predicting object recognition performance under data uncertainty, occlusion and clutter," Proceedings IEEE International Conference on Image Processing, pp. 556-560, Chicago, Illinois, October 4-7, 1998. Link
• 3D
• R. Li, S. Karanam, R. Li, T. Chen, B. Bhanu, and Z. Wu, "Learning local recurrent models for human mesh recovery," International Conference on 3D Vision, London, December 1-3, 2021. Link
• V. On, A. Zahedi and B. Bhanu, “3D Reconstruction of phase contrast images using focus measures,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• K. Litomisky and B. Bhanu, "Removing moving objects from point cloud scenes," International Workshop on Depth Image Analysis held in Conjunction with the 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11, 2012. Link
• K. Yamauchi, B. Bhanu and H. Saito, "3D Human Body Modeling Using Range Data," 20th International Conference on Pattern Recognition, pp. 1-4, Istanbul, Turkey, August 23-26, 2010. Link
• H. Chen and B. Bhanu, "Efficient recognition of highly similar 3D objects in range images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 1, pp. 172-179, January 2009. Link
• K. Yamauchi, B. Bhanu and H. Saito, "Recognition of walking humans in 3D: Initial results," IEEE Computer Society Workshop on Biometrics, held in conjunction with IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, June 20-25, 2009. The paper received the Best Student Paper Award. Link
• J. Yu, B. Bhanu, Y. Xu and A. Roy Chowdhury, "Super-resolved facial texture under changing pose and illumination," Proc. International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. Link
• H. Chen and B. Bhanu, "3-D free-form object recognition in range images using local surface patches," Proc. International Conference on Pattern Recognition, Volume 3, pp. 136-139, Cambridge, UK, February 28, 2007. Link
• H. Chen, B. Bhanu and R. Wang, "Performance evaluation and prediction for 3-D ear recognition," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 748-759, Rye Brook, NY, July 20-22, 2005. Link
• H. Chen and B. Bhanu, "Shape model-based 3D ear detection from side face range images," Proc. IEEE Workshop on Advanced 3D imaging for Safety and Security," San Diego, CA, June 25, 2005. Link
• H. Chen and B. Bhanu, "3-D free-form object recognition in range images using local surface patches," Proc. International Conference on Pattern Recognition, Volume 3, pp. 136-139, Cambridge, UK, August 23-26, 2004. Link
• H. Chen and B. Bhanu, "Human ear recognition from side face range images," Proc. International Conference on Pattern Recognition, Volume 3, pp. 574-577, Cambridge, UK, August 23-26, 2004. Link
• X. Wu and B. Bhanu, "Gabor Wavelet Representation for 3D Object Recognition," IEEE Transactions on Image Processing, Vol. 6, No. 1, January 1997. Link
• S. Das, B. Bhanu and C. C. Ho, "Generic object recognition using multiple representations," Image and Vision Computing, Vol. 14, pp. 323-338, 1996. Link
• B. Bhanu, C. C. Ho, ''Building hierarchical vision model of objects with multiple representations,'' Proceedings SPIE Conference on Applications Artificial Intelligence X: Machine Vision and Robotics, Vol. 1708, Orlando, Florida, April 1992, pp. 663-674, 1992. Link
• B. Bhanu and L. Nuttall, "Recognition of 3-D objects in range images using a butterfly multiprocessor," Pattern Recognition, Vol. 22, No. 1, pp. 49-64, 1989. Link
• T. Henderson, E. Weitz, C. Hansen, R. Grupen, C. C. Ho and B. Bhanu, "CAD based robotics," Proceedings IEEE International Conference on Robotics and Automation, pp. 631-635, Raleigh, North Carolina, March 1987. Link
• B. Bhanu, C. C. Ho, S. Lee, ''CAD based 3-D models for computer vision,'' Proceedings IEEE International Conference on Systems, Man, and Cybernetics, Atlanta, Georgia, October 1986, pp. 1002-1006, 1986. Link
• T. Henderson, C. Hansen, A. Samal, C. C. Ho and B. Bhanu, "CAGD based 3-D visual recognition," Proceedings 8th International Conference on Pattern Recognition, pp. 230-232, Paris, France, October 1986. Link
• B. Bhanu and C. C. Ho, "Computer aided geometric design based 3-D models for machine vision," Proceedings 8th International Conference on Pattern Recognition, pp. 107-110, Paris, France, October 1986. Link
• T. Henderson, C. Hansen and B. Bhanu, "Intrinsic characteristics as the interface between CAD and machine vision systems," Proceedings NATO Advanced Summer Institute (ASI) Workshop, Belgium, June 1986. Link
• B. Bhanu, S. Lee, C. C. Ho and T. Henderson, "Range data processing: Representation of surfaces by edges," Proceedings 8th International Conference on Pattern Recognition, pp. 236-238, Paris, France, October 1986. Link
• B. Bhanu, T. Henderson, and S. Thomas, "3-D model building using CAGD techniques," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 234-239, San Francisco, California, June 9-13, 1985. Link
• B. Bhanu and T. Henderson, "CAGD based 3-D vision," Proceedings IEEE International Conference on Robotics and Automation, pp. 411-417, St. Louis, Missouri, March 1985. Link
• B. Bhanu, T. Henderson and S. Thomas, "Vision analysis using computer aided geometric models," Proceedings International Conference on CAD/CAM, Robotics and Automation, pp. 243-246, Tucson, Arizona, February 1985. (Keynote Presentation) Link
• B. Bhanu, "Representation and shape matching of 3-D objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 6, No. 3, pp. 340-351, 1984. Link
• B. Bhanu, "Surface representation and shape matching of 3-D objects," Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 349-354, Las Vegas, Nevada, June 13-17, 1982. Link
• T. Henderson and B. Bhanu, "Three point seed method for the extraction of planar faces from range data," Proceedings IEEE International Conference on Industrial Applications of Machine Vision, pp. 181-186, Raleigh, North Carolina, May 3-5, 1982. Link
• Registration & Fusion
• C. Santos and B. Bhanu, “DYFUSION: Dynamic IR/RGB fusion for maritime vessel recognition,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu and Y. Liu, “A dense flow-based framework for real-time object registration under compound motion,” Pattern Recognition, Vol. 63, pp. 279-290, March 31, 2017. Link
• A. Tambo and B. Bhanu, “Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving,” IEEE Trans. on Image Processing, 2016. Link 1 - Link 2
• A.L. Tambo and B. Bhanu, “Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video,” IEEE International Conference on Image Processing, September 27-30, 2015, Quebec, Canada. Link
• S. Yang, L. An, N. Thakoor and B. Bhanu, "Improving action units recognition using dense flow-based face registration in video," 10th IEEE International Conference on Automatic Face and Gesture Recognition, April 22-26, 2013, Shanghai, China. Link
• Y. Li and B. Bhanu, "Fusion of multiple trackers in video networks," 5th IEEE/ACM International Conference on Distributed Smart Cameras, Ghent, Belgium, August 22-25, 2011. Link
• D. Zhang, Y. Wang and B. Bhanu, "Ethnicity classification based on gait using multi-view fusion," IEEE Computer Society Workshop on Biometrics, August 18, 2010, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. Link
• R. Wang and B. Bhanu, "On the Performance Prediction and Validation for Multisensor Fusion," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-6, Minneapolis, MN, June 17-22, 2007. Link
• X. Zhou and B. Bhanu, "Feature fusion of face and gait for human recognition at a distance in video," International Conference on Pattern Recognition, Vol. 4, pp. 529-532, Hong Kong, China, Aug. 21-24, 2006. Link
• H. Chen and B. Bhanu, "Global to local non-rigid shape registration," International Conference on Pattern Recognition, Vol. 4, pp. 57-60, Hong Kong, China, Aug. 21-24, 2006. Link
• J. Han and B. Bhanu, "Hierarchical mutli-sensor image registration using evolutionary computation," Proc. Genetic and Evolutionary Computation Conference, Washington D.C., pp. 2045-2052, June 25-29, 2005. Link
• X. Zou and B. Bhanu, "Tracking humans using multimodal fusion," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Link
• B. Bhanu and X. Zou, "Moving humans detection based on multi-modal sensor fusion," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, Washington, DC, July 2, 2004. Link
• S. Nadimi and B. Bhanu, "Cooperative coevolution fusion for moving object detection," Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004. Link
• S. Nadimi and B. Bhanu, "Adaptive fusion for diurnal moving object detection," Proc. International Conference on Pattern Recognition, Volume 3, pp. 696-699, Cambridge, UK, August 23-26, 2004. Link
• S. Nadimi and B. Bhanu, "Physics-based cooperative sensor fusion for moving object detection," Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004. Link
• J. Han and B. Bhanu, "Detecting moving humans using color and infrared video," IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 228-233, Tokyo, Japan, July 29-August 1, 2003. Link
• S. Nadimi and B. Bhanu, "Physics-based models of color and IR video for sensor fusion," IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 161-166, Tokyo, Japan, July 29-August 1, 2003. Link
• S. Nadimi and B. Bhanu, "Multistrategy fusion using mixture model for moving object detection," Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001. Link
• Context
• T. Mei, L. An and B. Bhanu, “Context guided belief propagation for remote sensing image classification,” Applied Optics, Vol. 54, No. 11, pp. 3372-3382, April 10, 2015. Link
• A. Bianchi, B. Bhanu, V. Donovan, and A. Obenaus, "Visual and contextual modeling for the detection of repeated mild traumatic brain injury," IEEE Transactions on Medical Imaging, Vol. 33, No. 1, January 2014. Link
• A. Bianchi, B. Bhanu and A. Obenaus, "Dynamic low-level context for the detection of mild traumatic brain injury," IEEE Transactions on Biomedical Engineering, Vol. 62, No. 1, pp. 145-153, January 2013. Link
• L. Chai, Z. Qin, H. Zhang, J. Guo, B. Bhanu, "A new multi-scale fuzzy model for histogram-based descriptors," Workshop on Broadcast and User-Generated Content Recognition and Analysis (BRUREC) in conjunction with IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, CA, USA from July 15-19, 2013. Link
• L. Chai, Z. Qin, H. Zhang, J. Guo, B. Bhanu, "MFSC: A new shape descriptor with robustness to deformations," IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, CA, USA from July 15-19, 2013. Link
• A. Bianchi, B. Bhanu, V. Donovan and A. Obenaus, "Mild traumatic brain injury detection through visual and contextual modeling," Poster presented at the Traumatic Brain Injury Conference Washington, DC, 2012. Link
• J. Han and B. Bhanu, "Gait recognition by combining classifiers based on environmental contexts," Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 416-425, Rye Brook, NY, July 20-22, 2005. Link
• Feature Selection
• Y. Sun and B. Bhanu, "Multiple local kernel integrated feature selection for image classification," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• Y. Sun and B. Bhanu, "Image retrieval with feature selection and relevance feedback," IEEE International Conference on Image Processing, September 26-29, 2010. Link
• B. Bhanu and Y. Lin, "Genetic algorithm based feature selection for target detection in SAR images," Image and Vision Computing, Vol. 21, No. 7, pp. 591-608, 2003. Link
• Navigation/Motion/Robotics
• S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu and Y. Liu, “A dense flow-based framework for real-time object registration under compound motion,” Pattern Recognition, Vol. 63, pp. 279-290, March 31, 2017. Link
• A. Tambo and B. Bhanu, “Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Link
• A. L. Tambo and B. Bhanu, “Modeling and classifying tip dynamics of growing cells in video,” IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1369-1373, 2016. Link
• V. On, A. Zahedi, I. Ethell and B. Bhanu, “Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy,” International Conference on Pattern Recognition, Cancun, Mexico, Dec. 4-8, 2016. Link
• A.L. Tambo and B. Bhanu, “Dynamic Bi-modal fusion of images for segmentation of pollen tubes in video,” IEEE International Conference on Image Processing, September 27-30, 2015, Quebec, Canada. Link
• A. Darvishzadeh and B. Bhanu, “Distributed multi-robot search in the real-world using modified particle swarm optimization,” ACM Genetic and Evolutionary Computation Conference, July 12-16, 2014. Link
• S. Yang, B. Bhanu and A.I. Mourikis, "Error model for scene reconstruction from motion and stereo," IEEE Workshop on Three-dimensional Information Extraction for Video Analysis and Mining, June 14, 2010, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. Link
• N. Ghosh, B. Bhanu, and G. Denina, "Continuously evolvable Bayesian nets for human action analysis in videos," Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Link
• P. Leang and B. Bhanu, "Learning integrated perception-based speed control," Proc. International Conference on Pattern Recognition, Vol. 1, pp. 813-816, Cambridge, UK, August 23-26, 2004. Link
• B. Bhanu, P. Leang, C. Cowden, Y. Lin and M. Patterson, "Real time robot learning," Proceedings IEEE International Conference on Robotics and Automation, pp. 491-498, Seoul, South Korea, May 21-26, 2001. Link
• J. Peng and B. Bhanu, "Learning to perceive for autonomous navigation in outdoor environments," Proceedings IEEE Workshop on Perception for Mobile Agents, pp. 95-104, Santa Barbara, California, June 26, 1998. Link
• B. Bhanu, S. Das, B. Roberts and D. Duncan, "A system for obstacle detection during rotorcraft low altitude flight," IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No. 3, pp. 875-897, 1996. Link
• B. Bhanu, S. Das, P. Symosek, S. Snyder and B. Roberts, "Synergism of binocular and motion stereo for passive ranging," IEEE Transactions on Aerospace and Electronic Systems, Vol. 30, No. 3, pp. 709-721, 1994. Link
• W. Burger and B. Bhanu, "A geometric constraint method for estimating 3-D camera motion," Proceedings IEEE Conference on Robotics and Automation, pp. 1155-1160, San Diego, California, May 8-13, 1994. Link
• N. Braithwaite and B. Bhanu, "Robust guidance of a conventionally steered vehicle using destination bearing," Proceedings IEEE International Symposium on Intelligent Control, pp. 382-387, Chicago, Illinois, August 25-27, 1993. Link
• B. Roberts and B. Bhanu, "Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation," Journal of Robotic Systems, Vol. 9, No. 6, pp. 817-842, 1992. Link
• B. Bhanu, R. Nevatia and E. Riseman, "Dynamic-scene and motion analysis using passive sensors - PART II: Displacement-field and feature-based approaches," IEEE Expert, Vol. 7, No. 1, pp. 53-64, 1992. Link
• B. Bhanu, R. Nevatia and E. Riseman, "Dynamic-scene and motion analysis using passive sensors - PART I: A qualitative approach," IEEE Expert, Vol. 7, No. 1, pp. 45-52, 1992. Link
• B. Bhanu, B. Roberts, D. Duncan and S. Das, "A system for obstacle detection during rotorcraft low-altitude flight," Proceedings IEEE Workshop on Applications of Computer Vision, pp. 92-99, Palm Springs, California, November/December 1992. Link
• B. Bhanu, P. Symosek, S. Snyder, B. Roberts and S. Das, "Integrated binocular and motion stereo in an inertial navigation sensor-based mobile vehicle," Proceedings IEEE International Symposium on Intelligent Control, pp. 60-65, Glasgow, United Kingdom, August 1992. Link
• B. Bhanu and W. Burger, "A qualitative approach to dynamic scene understanding, Computer Vision," Graphics and Image Processing - Image Understanding, Vol. 54, No. 2, pp. 184-205, 1991. Link
• W. Burger and B. Bhanu. "Qualitative understanding of scene dynamics for mobile robots," International Journal of Robotics Research, Vol. 9, No. 6, pp. 74-90, 1990. Link
• W. Burger and B. Bhanu, "Estimating 3-D egomotion from perspective image sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 12, No. 11, pp. 1040-1058, 1990. Link
• B. Bhanu, B. Roberts and J. Ming, "Inertial navigation sensor integrated motion analysis for obstacle detection," Proceedings IEEE International Conference on Robotics and Automation, pp. 954-959, Raleigh, North Carolina, May 1990. Link
• W. Burger and B. Bhanu, "On computing a 'fuzzy' focus of expansion for autonomous navigation," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 563-568, San Diego, California, June 1989. Link
• B. Bhanu and W. Burger, "Approximation of displacement fields using wavefront region growing," Computer Vision, Graphics and Image Processing, Vol. 41, No. 3, pp. 306-322, 1988. Link
• H. Nasr and B. Bhanu, "Landmark recognition for autonomous mobile robots," Proceedings IEEE International Conference on Robotics and Automation, pp. 1218-1223, Philadelphia, Pennsylvania, April 1988. Link
• W. Burger and B. Bhanu, "Dynamic scene understanding for autonomous mobile robots," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 736-741, Ann Arbor, Michigan, June 1988. Link
• B. Bhanu and W. Burger, "Estimation of image motion using wavefront region growing," Proceedings 1st International Conference on Computer Vision, pp. 428-432, London, United Kingdom, June 1987. Link
• B. Bhanu, H. Nasr, P. Symosek, W. Burger, M. Gluch, D. Panda, ''Knowledge-based analysis of scene dynamics for an autonomous land vehicle,'' Proceedings 14th Annual Technical Symposium20 August 1, 2009 Association of Unmanned Vehicle Systems, AUVS-87, Washington DC, July 1987, 16 pages, 1987. Link
• H. Nasr, B. Bhanu and S. Schaffer, "Landmark recognition for autonomous land vehicle navigation," Proceedings AI Technology Symposium, pp. 31-65, Honeywell Systems and Research Center, Minneapolis, Minnesota, June 9, 1987. Link
• W. Burger and B. Bhanu, "Qualitative motion understanding," Proceedings 10th International Joint Conference on Artificial Intelligence (IJCAI-87), pp. 819-821, Milan, Italy, August 1987. Link
• Cepstrum
• B. Bhanu, "Computation of two-dimensional complex cepstrum," Proceedings 7th International Conference on Acoustics, Speech and Signal Processing, pp. 140-143, Paris, France, May 3-5, 1982. Link
• B. Bhanu and J.H. McClellan, "On the computation of complex cepstrum," IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP Vol. 28, No. 5, pp. 583-585, 1980. Link
• Inspection
• C. Nolen, G. Denina, D. Teweldebrhan, B. Bhanu, and A.A. Balandin, "High-throughput large-area automated identification and quality control of grapheme and few-layer graphene films," ACS Nano. 5 (2), pp 914-922, Jan 5, 2011. Link
• C. Nolen, D. Teweldebrhan, G. Denina, B. Bhanu, and A. Balandin, "Large-Scale Automated Identification and Quality Control of Exfoliated and CVD Graphene via Image Processing Technique," ECS Transactions - Las Vegas, NV" Volume 33, "State-of-the-Art Program on Compound Semiconductors 52 (SOTAPOCS 52), 218th Electrochemical Society (ECS) Meeting, October 10 - 15, 2010. Link

Video Networks/Analysis

• VideoWeb Lab
• R. Li and B. Bhanu, “Role of cycle consistency for generating better human action videos from a single frame,” International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. (Accepted June 20, 2020). Link
• B. Bhanu, A. Prati, F. Qureshi (Editors), Special issue on "Image Understanding for Real-World Distributed Video Networks" Computer Vision and Image Understanding (CVIU), Vol. 134, pp. 46-140, May 2015. Link
• Y. Li and B. Bhanu, "Camera pan/tilt control with multiple trackers" 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• H. Nguyen, B. Bhanu, A. Patel, and R. Diaz, "Design and optimization of the VideoWeb wireless camera network," EURASIP Journal on Image and Video Processing, Special Issue on Multicamera Information Processing: Acquisition, Collaboration, Interpretation, and Production, 13 journal pages, 2010. Link
• Y. Li and B. Bhanu and Wei Lin, "Auction protocol for camera active control," IEEE International Conference on Image Processing, September 26-29, 2010. Link
• Y. Li and B. Bhanu, "Task-oriented camera assignment in a video network," IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009. Link
• H. Nguyen, B. Bhanu, A. Patel, and R. Diaz, "VideoWeb: Design of a wireless camera network for real-time monitoring of activities," Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Link
• Y. Li and B. Bhanu, "A comparison of techniques for camera selection and handoff in a video network," Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August - 2 September, 2009. Link
• X. Zou and B. Bhanu, "Anomalous activity classification in the distributed camera network," IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Link
• Super-Resolution
• Z. Li, Q. Peng, B. Bhanu, Q. Zhang and H. He, “Super-resolution for astronomical observations,” Astrophysics and Space Science, 363:92, pp. 1-15, May 2018, Springer. Link
• L. An and B. Bhanu, "Face image super-resolution using 2D CCA," Signal Processing, 103, pp. 183-194, 2014. Link
• L. An and B. Bhanu, "Image super-resolution by extreme learning machine," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• A. Le and B. Bhanu, "Improved Image Super-Resolution by Support Vector Regression," International Joint Conference on Neural Networks, San Jose, California, July 31 - August 5, 2011. Link
• J. Yu and B. Bhanu, "Super-resolution of deformed facial images in video," IEEE International Conference on Image Processing, San Diego, CA, October 12-15, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution of facial images in video with expression changes," IEEE International Conference On Advanced Video and Signal Based Surveillance, Santa Fe, NM, September 1-3, 2008. Link
• J. Yu and B. Bhanu, "Super-resolution restoration of facial images in video," International Conference on Pattern Recognition, Vol. 4, pp. 342-345, Hong Kong, China, Aug. 21-24, 2006. Link
• Tracking/Re-Identification
• Y. Liu, Y. Zhang, B. Bhanu, S. Coleman and D. Kerr, “Learning to generalize: A progressive memory neural network for cross-dataset person re-identification,” IEEE Transactions on Circuits and Systems for Video Technology, Accepted 2/2022. 14 Transactions pages. Link
• F. Jiao and B. Bhanu, “DEEPAGENT: An algorithm integration approach for person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• X. Zhang and B. Bhanu, “An unbiased temporal representation for video-based person re-identification,” IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Link
• R. Theagarajan, F. Pala, X. Zhang and B. Bhanu, “Soccer: Who has the ball? Generating visual analytics and player statistics,” 4th International Workshop on Computer Vision in Sports (CVsports) in conjunction with CVPR 2018, Salt Lake City, UT, June 22, 2018. Link
• X. Zhang, F. Pala and B. Bhanu, “Attributes co-occurrence pattern mining for video-based person re-identification,” 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, August 29 – Sept. 1, 2017, Lecce, Italy. Link
• S. Yang, L. An, Y. Lei, M. Li, N. Thakoor, B. Bhanu and Y. Liu, “A dense flow-based framework for real-time object registration under compound motion,” Pattern Recognition, Vol. 63, pp. 279-290, March 31, 2017. Link
• X. Chen, Z. Qin, L. An and B. Bhanu, “Multi-person tracking by online learned grouping model with non-linear motion context,” IEEE Trans. on Circuits and Systems for Video Technology, Issue 99, December 2016. Link
• J. Peng and B. Bhanu, "Closed-loop object recognition using reinforcement learning," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 538-543, San Francisco, California, June 16-20, 1996. Link
• X. Chen and B. Bhanu, “Integrating Social Grouping for Multi-target Tracking Across Cameras in a CRF Model,” IEEE Transactions on Circuits and Systems for Video Technology 2016. Link
• N. Thakoor and B. Bhanu, “Selective experience replay in reinforcement learning for re-identification,” IEEE International Conference on Image Processing, Phoenix, AZ, September 25-28, 2016. Link 1 Link 2
• Z. Jin, L. An and B. Bhanu, “Group structure preserving pedestrian tracking in a multi-camera Video network,” IEEE Transactions on Circuits and Systems for Video Technology 2016. Link
• L. An, X. Chen, S. Yang and B. Bhanu, “Sparse representation matching for person re-identification,” Information Sciences, 2016. Link
• X. Chen and B. Bhanu, “Grouping model for people tracking in surveillance camera,” Workshop on Forensic Applications of Computer Vision (FACV), in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Link
• N. S. Thakoor, S. Sunderrajan, L. An, B. Bhanu and B.S. Manjunath, “People tracking in camera networks: Three open questions,” IEEE Computer, Vol. 48, No. 3, pp. 78-86, March 2015. Link
• L. Feng and B. Bhanu, “Tracking people by evolving social groups: An approach with social network perspective,” IEEE Winter Applications Computer Vision (WACV) Conference, January 6-8, 2015, Big Island, HI. Link
• L. An, M. Kafai, S. Yang and B. Bhanu, “Person re-identification with reference descriptor,” IEEE Transactions on Circuits and Systems for Video Technology, 2015. Link
• L. An, S. Yang and B. Bhanu, “Person re-identification by robust canonical correlation analysis,” IEEE Signal Processing Letters, 22(8):1103-1107, 2015. Link
• X. Chen, L. An, and B. Bhanu, “Multi-target tracking in non-overlapping cameras using a reference set,” IEEE Sensors Journal, Vol. 15, No. 5, pp. 2692-2704, May 2015. Link
• L. Feng and B. Bhanu, “Understanding dynamic social grouping behaviors of pedestrians,” IEEE Selected Topics on Signal Processing, Vol. 9, No. 2, pp. 317-329, March 2015. Link
• Z. Jin and B. Bhanu, “Multi-camera pedestrian tracking using group structure,” 8th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Venezia, Italy, Nov. 4-7, 2014. Link
• X. Chen and B. Bhanu, "Soft biometrics integrated multi-target tracking," 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. Link
• X. Chen, L. An, Q. Zhen and B. Bhanu, "An online learned elementary grouping model for multi-target tracking," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Link
• N. Thakoor and B. Bhanu, "Context-aware reinforcement learning for re-identification in a video network," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• L. An, X. Chen, M. Kafai, S. Yang and B. Bhanu, "Improving person re-identification by soft biometrics based re-ranking," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• X. Chen, L. An and B. Bhanu, "Reference set based appearance model for tracking across non-overlapping cameras," 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, Oct. 29-Nov. 1, 2013. Link
• Z. Jin ad B. Bhanu, "Optimizing crowd simulation based on real video data," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• L. An, M. Kafai, S. Yang and B. Bhanu, "Reference-based person re-identification," 10th IEEE International Conference on Advanced Video and Signal-based Surveillance, Krakow, Poland, August 27-30, 2013. Link
• Q. Li, H. Zhang, J. Guo, B. Bhanu, and Le An, "Reference-based scheme combined with K-SVD for scene image categorization," IEEE Signal Processing Letters, Vol. 20, No. 1, January 2013. Link
• Z. Jin and B. Bhanu, "Single camera multi-person tracking based on crowd simulation," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• Z. Jin and B. Bhanu, "Integrating crowd simulation for pedestrian tracking in a multi-camera system," 6th ACM/IEEE International Conference on Distributed Smart Cameras, Hong Kong, Oct 30 - Nov 2, 2012. Link
• Y. Li and B. Bhanu, "Utility-based camera assignment in a video network: A game theoretic framework," IEEE Sensors Journal, Special Issue on Cognitive Networks, Vol. 11, No.3, pp. 676-687, March 2011. Link
• X. Zou, B. Bhanu and A. Roy-Chowdhury, "Continuous learning of a multi-layered network topology in a video camera network,"EURASIP Journal on Image and Video Processing, Special Issue on Video-Based Modeling, Analysis, and Recognition of Human Motion, pp. 1-19, 2009. Link
• Y. Li and B. Bhanu, "Utility-based dynamic camera assignment and hand-off in a video network," International Conference on Distributed Smart Cameras, Stanford University, September 7-11, 2008. (Best Paper Award of the Conference) Link
• X. Zou and B. Bhanu, "Tracking humans using multimodal fusion," Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 20, 2005. Link
• S. Nadimi and B. Bhanu, "Multistrategy fusion using mixture model for moving object detection," Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001. Link
• B. Bhanu, N. Thune and M. Thune, "CAOS: A hierarchical robot control system," Proceedings IEEE International Conference on Robotics and Automation, pp. 1603-1608, Raleigh, North Carolina, March 1987. Link
• B. Bhanu and N. Thune, "Knowledge-based robot control on a multiprocessor in a multisensor environment," Proceedings 2nd International Conference on Robotics and Factories of the Future, San Diego, California, July 28-31, 1987. Link
• B. Bhanu, N. Thune, J. K. Lee, M. Thune, ''Hierarchical robot control in a multisensor environment,'' Proceedings SPIE Conference Intelligent Robots and Computer Vision, Vol. 726, Cambridge, Massachusetts, October 1986, pp. 453-461, 1986. Link
• T. Henderson, C. Hansen and B. Bhanu, "A framework for distributed sensing and control," Proceedings 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pp. 1106-1109, Los Angeles, California, August 18-23, 1985. Link
• T. Henderson, C. Hansen, B. Bhanu, ''The synthesis of logical sensor specifications,'' Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 579, Cambridge, Massachusetts, September 1985, pp. 442-445, 1985. Link
• T. Henderson, C. Hansen, B. Bhanu and E. Shilcrat, "ASP: An algorithm and sensor performance evaluation system," Proceedings 9th Pecora Memorial Remote Sensing Symposium, pp. 201-207, Sioux Falls, South Dakota, October 2-4, 1984. Link
• T. Henderson, B. Bhanu, C. Hansen, ''Distributed control in multi-sensor kernel system,'' Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 521, Cambridge, Massachusetts, November 1984, pp. 253-255, 1984. Link
• Sensing and Control
• B. Bhanu, N. Thune and M. Thune, "CAOS: A hierarchical robot control system," Proceedings IEEE International Conference on Robotics and Automation, pp. 1603-1608, Raleigh, North Carolina, March 1987. Link
• B. Bhanu and N. Thune, "Knowledge-based robot control on a multiprocessor in a multisensor environment," Proceedings 2nd International Conference on Robotics and Factories of the Future, San Diego, California, July 28-31, 1987. Link
• B. Bhanu, N. Thune, J. K. Lee, M. Thune, ''Hierarchical robot control in a multisensor environment,'' Proceedings SPIE Conference Intelligent Robots and Computer Vision, Vol. 726, Cambridge, Massachusetts, October 1986, pp. 453-461, 1986. Link
• T. Henderson, C. Hansen and B. Bhanu, "The specification of distributed sensing and control," Journal of Robotic Systems, Vol. 2, No. 4, pp. 387-396, 1985. Link
• T. Henderson, C. Hansen and B. Bhanu, "A framework for distributed sensing and control," Proceedings 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pp. 1106-1109, Los Angeles, California, August 18-23, 1985. Link
• T. Henderson, C. Hansen, B. Bhanu, ''The synthesis of logical sensor specifications,'' Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 579, Cambridge, Massachusetts, September 1985, pp. 442-445, 1985. Link
• T. Henderson, C. Hansen, B. Bhanu and E. Shilcrat, "ASP: An algorithm and sensor performance evaluation system," Proceedings 9th Pecora Memorial Remote Sensing Symposium, pp. 201-207, Sioux Falls, South Dakota, October 2-4, 1984. Link
• Security and Biometrics
• R. Theagarajan and B. Bhanu, “Privacy preserving defense for black box classifiers against on-line adversarial attacks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, , 18 pages plus 6 pages of sup. material. Accepted 2021. Link
• Semantics, Retrieval, VQA
• Q. Li, F. Xiao, B. Bhanu, B. Sheng and R. Hong, “Inner knowledge-based Img2Doc scheme for visual question answering,” ACM Transactions on Multimedia Computing and Communications Applications, 21 transactions Pages, Accepted 2021. Link

Image/Video Database and Learning

• Relevance Feedback
• Y. Sun and B. Bhanu, "Image retrieval with feature selection and relevance feedback," IEEE International Conference on Image Processing, September 26-29, 2010. Link
• B. Bhanu, K. Chang and A. Dong, "Long term cross-session relevance feedback using virtual features," IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 3, pp. 352-368, March 2008. Link
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Integrating relevance feedback techniques for image retrieval using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1536-1551, Oct. 2005. Link
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Reinforcement learning for combining relevance feedback techniques in image retrieval," International Conference on Computer Vision, pp. 510-515, Nice, France, Oct. 13-16, 2003. Link
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Improving retrieval performance by long-term relevance information," Proceedings International Conference on Pattern Recognition, pp. Vol. III, pp. 533-536, Quebec City, Canada, August 11-15, 2002. Link
• B. Bhanu and A. Dong, "Concept learning with fuzzy clustering and relevance feedback," Engineering Applications of Artificial Intelligence, Vol. 15, No. 2, pp. 123-138, 2002. Link
• J. Peng, B. Bhanu and S. Qing, "Probabilistic feature relevance learning for content-based image retrieval," Computer Vision and Image Understanding, Vol. 75, No. 1/2, pp. 150-164, 1999. (Special Issue of Content-Based Access of Image and Video Libraries) Link
• J. Peng, B. Bhanu, Y. Zeng, "Probabilistic feature relevance learning for online indexing," Proceedings DARPA Image Understanding Workshop, Monterey, California, November 1998, pp. 1171-1176, 1998. Link
• Semantics
• L. Feng and B. Bhanu, “Semantic concept co-occurrence patterns for image annotation and retrieval,” 3rd Workshop on Web-scale Vision and Social Media (VSM),” in conjunction with International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.11-18, 2015. Link
• L. Feng and B. Bhanu, "Automated identification and retrieval of moth images with semantically related visual attributes on the wings," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• L. Feng and B. Bhanu, "Utilizing co-occurrence patterns for semantic concept detection in images," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• L. Feng and B. Bhanu, "Semantic-visual concept relatedness and co-occurrences for image retrieval," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• L. Feng and B. Bhanu, "Concept learning with co-occurrence network for image retrieval," Seventh IEEE International Workshop on Multimedia Information Processing and Retrieval, Dana Point, CA, Dec. 5-7, 2011. Link
• Retrieval
• L. Feng and B. Bhanu, “Semantic concept co-occurrence patterns for image annotation and retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 4, April 2016. Link
• L. Feng, B. Bhanu, and J. Hearty, ”A software system for automated identification and retrieval of moth images based on wing attributes,” Pattern Recognition, Vol 51, March 2016. Link
• M. Kafai, K. Eshghi and B. Bhanu, "Discrete cosine transform based locality-sensitive hashes for retrieval," IEEE Transactions on Multimedia, Vol. 16, Issue 4, pp. 1090-1103, June 2014. Link
• L. Feng and B. Bhanu, "Automated identification and retrieval of moth images with semantically related visual attributes on the wings," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• X. Chen, L. An and B. Bhanu, "Improving large scale face image retrieval using multi-level features," International Conference on Image Processing, Melbourne, Australia, Sept. 15-18, 2013. Link
• H. Shafeian and B. Bhanu, "Integrated personalized video summarization and retrieval," 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, Nov. 11-15, 2012. Link
• L. Feng and B. Bhanu, "Semantic-visual concept relatedness and co-occurrences for image retrieval," International Conference on Image Processing, Orlando, FL, Sept. 30-Oct. 3, 2012. Link
• L. Feng and B. Bhanu, "Concept learning with co-occurrence network for image retrieval," Seventh IEEE International Workshop on Multimedia Information Processing and Retrieval, Dana Point, CA, Dec. 5-7, 2011. Link
• A. Bianchi, B. Bhanu and Y. Sun, "Image retrieval of highly similar objects," ICPR Workshop on Analysis and Evaluation of Large Scale Multimedia Collection, August 22, 2010, held in conjunction with International Conference on Pattern Recognition, Istanbul, Turkey, August 23-26, 2010. Link
• Y. Sun and B. Bhanu, "Image retrieval with feature selection and relevance feedback," IEEE International Conference on Image Processing, September 26-29, 2010. Link
• R. Li, B. Bhanu and A. Dong, "Feature synthesized EM algorithm for image retrieval," ACM Transactions on Multimedia Computing, Communications and Application, Vol.4, No. 2, pp. 1-18, May 2008. Link
• R. Li, B. Bhanu, C. Ravishankar, M. Kurth and J. Ni, "Uncertain spatial data handling: Modeling, indexing and query," Computers and Geosciences, Vol. 33, pp. 42-61, 2007. Link
• R. Li, B. Bhanu and A. Dong, "Coevolutionary feature synthesized EM algorithm for image retrieval," Proc. 13th ACM International Conference on Multimedia, pp. 696-705, Singapore, Nov. 6-11, 2005. Link
• P. Yin, B. Bhanu, K. Chang and A. Dong, "Integrating relevance feedback techniques for image retrieval using reinforcement learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1536-1551, Oct. 2005. Link
• A. Dong, B. Bhanu and Y. Lin, "Evolutionary feature synthesis for image databases," Proc. IEEE Workshop on Applications of Computer Vision, pp. 330-335, Breckenridge, Colorado, Jan. 5-7, 2005. Link
• B. Bhanu, R. Li, C. Ravishankar and J. Ni, "Handling uncertain spatial data: Comparisons between indexing structures," Proc. Third International Workshop on Pattern Recognition in Remote Sensing (PRRS '04), Kingston upon Thames, UK, August 27, 2004. Link
• A. Dong and B. Bhanu, "Discriminant features for model-based image databases," Proc. International Conference on Pattern Recognition, Vol. 2, pp. 997-1000, Cambridge, UK, August 23-26, 2004. Link
• A. Dong and B. Bhanu, "Active Concept Learning for Image Retrieval in Dynamic Databases," International Conference on Computer Vision, pp. 90-95, Nice, France, Oct. 13-16, 2003. Link
• J. Ni, C.V. Ravishankar and B. Bhanu, "Probabilistic Spatial Database Operations," Eighth International Symposium on Spatial and Temporal Databases, Santorini Island, Greece, July 24-27, 2003. Link
• A. Dong and B. Bhanu, "Concept learning and transplantation for dynamic image databases," IEEE International Conference on Multimedia and Expo, pp. 765-768, Baltimore, MD, July 6-9, 2003. Link
• A. Dong and B. Bhanu "A new semi-supervised EM algorithm for image retrieval," Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 662-667, Madison, WI, June 18-20, 2003. Link
• B. Bhanu and A. Dong, "Exploitation of meta knowledge for learning visual concepts," IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 81-88, Kauai, Hawaii, December 14, 2001. Link
• B. Bhanu and X. Tan, "A triplet based approach for indexing of fingerprint database for identification," Proceedings Third International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 205-210, Halmstad, Sweden, June 6-8, 2001. Link
• J. Peng and B. Bhanu, "Feature relevance estimation for image databases," Proceedings Fifth International Workshop on Multimedia Information Systems (MIS'99), pp. 12-19, in Advances in Multimedia Information Systems, Edited by L. Golubchik and V.J. Tsotras, Indian Wells, California, October 21-23, 1999. Link
• J. Peng and B. Bhanu, "Independent feature analysis for image retrieval," In Machine Learning and Data Mining in Pattern Recognition, P. Perner and M. Petrou, (Eds.), pp. 103-115, Springer, 1999. Link
• J. Peng, B. Bhanu and S. Qing, "Probabilistic feature relevance learning for content-based image retrieval," Computer Vision and Image Understanding, Vol. 75, No. 1/2, pp. 150-164, 1999. (Special Issue of Content-Based Access of Image and Video Libraries) Link
• Summarization
• N. Ghosh and B. Bhanu, "A psychological adaptive model for video analysis," International Conference on Pattern Recognition, Vol. 4, pp. 346-349, Hong Kong, China, Aug. 21-24, 2006. Link