| 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 | 3127 | 2017 |
| Review of image and video indexing techniques F Idris, S Panchanathan Journal of visual communication and image representation 8 (2), 146-166, 1997 | 455 | 1997 |
| 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 | 317 | 2016 |
| Effect of fatigue on psychomotor and cognitive skills K Kahol, MJ Leyba, M Deka, V Deka, S Mayes, M Smith, JJ Ferrara, ... The American Journal of Surgery 195 (2), 195-204, 2008 | 310 | 2008 |
| Error resiliency schemes in H. 264/AVC standard S Kumar, L Xu, MK Mandal, S Panchanathan Journal of Visual Communication and Image Representation 17 (2), 425-450, 2006 | 294 | 2006 |
| Image indexing using moments and wavelets MK Mandal, T Aboulnasr, S Panchanathan IEEE Transactions on Consumer Electronics 42 (3), 557-565, 2002 | 280 | 2002 |
| Multisource domain adaptation and its application to early detection of fatigue R Chattopadhyay, Q Sun, W Fan, I Davidson, S Panchanathan, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-26, 2012 | 273 | 2012 |
| VLSI implementation of discrete wavelet transform A Grzeszczak, MK Mandal, S Panchanathan IEEE Transactions on Very Large Scale Integration (VLSI) Systems 4 (4), 421-433, 1996 | 257 | 1996 |
| A critical evaluation of image and video indexing techniques in the compressed domain MK Mandal, F Idris, S Panchanathan Image and Vision Computing 17 (7), 513-529, 1999 | 254 | 1999 |
| A two-stage weighting framework for multi-source domain adaptation Q Sun, R Chattopadhyay, S Panchanathan, J Ye Advances in neural information processing systems 24, 2011 | 249 | 2011 |
| Reconfigurable processing AR Dasu, A Akoglu, A Sudarsanam, S Panchanathan US Patent 8,281,297, 2012 | 238 | 2012 |
| Biased manifold embedding: A framework for person-independent head pose estimation VN Balasubramanian, J Ye, S Panchanathan 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007 | 238 | 2007 |
| Leveraging seen and unseen semantic relationships for generative zero-shot learning MR Vyas, H Venkateswara, S Panchanathan European conference on computer vision, 70-86, 2020 | 187 | 2020 |
| A virtual reality simulator for orthopedic basic skills: a design and validation study M Vankipuram, K Kahol, A McLaren, S Panchanathan Journal of biomedical informatics 43 (5), 661-668, 2010 | 179 | 2010 |
| Automated gesture segmentation from dance sequences K Kahol, P Tripathi, S Panchanathan Sixth IEEE International Conference on Automatic Face and Gesture …, 2004 | 167 | 2004 |
| 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 | 142 | 2017 |
| Analysis of low resolution accelerometer data for continuous human activity recognition NC Krishnan, S Panchanathan 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 141 | 2008 |
| Using a haptic belt to convey non-verbal communication cues during social interactions to individuals who are blind T McDaniel, S Krishna, V Balasubramanian, D Colbry, S Panchanathan 2008 IEEE international workshop on haptic audio visual environments and …, 2008 | 140 | 2008 |
| A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle G Little, S Krishna, J Black, S Panchanathan Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 140 | 2005 |
| Fast wavelet histogram techniques for image indexing MK Mandal, T Aboulnasr, S Panchanathan Computer Vision and Image Understanding 75 (1-2), 99-110, 1999 | 139 | 1999 |
Troy McDanielArizona State UniversityVerified email at asu.edu
