Deep hashing network for unsupervised domain adaptation H Venkateswara, J Eusebio, S Chakraborty, S Panchanathan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 384 | 2017 |
Multimodal emotion recognition using deep learning architectures H Ranganathan, S Chakraborty, S Panchanathan 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 102 | 2016 |
On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation S Marcel, C McCool, P Matějka, T Ahonen, J Černocký, S Chakraborty, ... International Conference on Pattern Recognition, 210-225, 2010 | 67 | 2010 |
Deep-learning systems for domain adaptation in computer vision: Learning transferable feature representations H Venkateswara, S Chakraborty, S Panchanathan IEEE Signal Processing Magazine 34 (6), 117-129, 2017 | 58 | 2017 |
Active batch selection via convex relaxations with guaranteed solution bounds S Chakraborty, V Balasubramanian, Q Sun, S Panchanathan, J Ye IEEE transactions on pattern analysis and machine intelligence 37 (10), 1945 …, 2015 | 51 | 2015 |
Adaptive batch mode active learning S Chakraborty, V Balasubramanian, S Panchanathan IEEE transactions on neural networks and learning systems 26 (8), 1747-1760, 2014 | 49 | 2014 |
Adaptive keyframe selection for video summarization S Chakraborty, O Tickoo, R Iyer 2015 IEEE winter conference on applications of computer vision, 702-709, 2015 | 41 | 2015 |
Active matrix completion S Chakraborty, J Zhou, V Balasubramanian, S Panchanathan, I Davidson, ... 2013 IEEE 13th International Conference on Data Mining, 81-90, 2013 | 36 | 2013 |
Social interaction assistant: a person-centered approach to enrich social interactions for individuals with visual impairments S Panchanathan, S Chakraborty, T McDaniel IEEE journal of selected topics in signal processing 10 (5), 942-951, 2016 | 33 | 2016 |
Generalized batch mode active learning for face-based biometric recognition S Chakraborty, V Balasubramanian, S Panchanathan Pattern Recognition 46 (2), 497-508, 2013 | 32 | 2013 |
Generalized query by transduction for online active learning V Balasubramanian, S Chakraborty, S Panchanathan 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 27 | 2009 |
Document frauds: Identification and linking fake document to scanners and printers G Gupta, SK Saha, S Chakraborty, C Mazumdar 2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007 | 23 | 2007 |
Optimal batch selection for active learning in multi-label classification S Chakraborty, V Balasubramanian, S Panchanathan Proceedings of the 19th ACM international conference on Multimedia, 1413-1416, 2011 | 19 | 2011 |
Dynamic batch mode active learning S Chakraborty, V Balasubramanian, S Panchanathan CVPR 2011, 2649-2656, 2011 | 16 | 2011 |
Deep active learning for image classification H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan 2017 IEEE International Conference on Image Processing (ICIP), 3934-3938, 2017 | 14 | 2017 |
Adaptive Batch Mode Active Learning for Evolving a Classifier S Chakraborty, VN Balasubramanian, S Panchanathan US Patent App. 13/484,696, 2012 | 14 | 2012 |
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease VG Torvi, A Bhattacharya, S Chakraborty 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 12 | 2018 |
Conformal predictions for information fusion VN Balasubramanian, S Chakraborty, S Panchanathan Annals of Mathematics and Artificial Intelligence 74 (1-2), 45-65, 2015 | 11 | 2015 |
Smart stadium for smarter living: Enriching the fan experience S Panchanathan, S Chakraborty, T McDaniel, M Bunch, N O’Connor, ... 2016 IEEE international symposium on multimedia (ISM), 152-157, 2016 | 10 | 2016 |
Real time video summarization S Chakraborty, O Tickoo, R Iyer US Patent 9,639,762, 2017 | 9 | 2017 |