| Youtube-8m: A large-scale video classification benchmark S Abu-El-Haija, N Kothari, J Lee, P Natsev, G Toderici, B Varadarajan, ... arXiv preprint arXiv:1609.08675, 2016 | 945 | 2016 |
| Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling Y Gao, SS Vedula, CE Reiley, N Ahmidi, B Varadarajan, HC Lin, L Tao, ... MICCAI workshop: M2cai 3, 3, 2014 | 232 | 2014 |
| Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maximization criterion D Yu, B Varadarajan, L Deng, A Acero Computer Speech & Language 24 (3), 433-444, 2010 | 139 | 2010 |
| Unsupervised learning of acoustic sub-word units B Varadarajan, S Khudanpur, E Dupoux Proceedings of ACL-08: HLT, Short Papers, 165-168, 2008 | 121 | 2008 |
| Data-derived models for segmentation with application to surgical assessment and training B Varadarajan, C Reiley, H Lin, S Khudanpur, G Hager International Conference on Medical Image Computing and Computer-Assisted …, 2009 | 107 | 2009 |
| A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 103 | 2013 |
| Automatic recognition of surgical motions using statistical modeling for capturing variability CE Reiley, HC Lin, B Varadarajan, B Vagvolgyi, S Khudanpur, DD Yuh, ... MMVR 132, 396-401, 2008 | 95 | 2008 |
| Tnt: Target-driven trajectory prediction H Zhao, J Gao, T Lan, C Sun, B Sapp, B Varadarajan, Y Shen, Y Shen, ... arXiv preprint arXiv:2008.08294, 2020 | 65 | 2020 |
| Universal background model based speech recognition D Povey, SM Chu, B Varadarajan 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 58 | 2008 |
| Stepwise optimal subspace pursuit for improving sparse recovery B Varadarajan, S Khudanpur, TD Tran IEEE Signal Processing Letters 18 (1), 27-30, 2010 | 49 | 2010 |
| Collaborative deep metric learning for video understanding J Lee, S Abu-El-Haija, B Varadarajan, A Natsev Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 48 | 2018 |
| Selecting and presenting representative frames for video previews S Shetty, T Izo, MH Tsai, S Vijayanarasimhan, A Natsev, S Abu-El-Haija, ... US Patent 9,953,222, 2018 | 36 | 2018 |
| Learning and inference algorithms for dynamical system models of dextrous motion B Varadarajan The Johns Hopkins University, 2011 | 33 | 2011 |
| The jhu-isi gesture and skill assessment dataset (jigsaws): A surgical activity working set for human motion modeling Y Gao, S Vedula, C Reiley, N Ahmidi, B Varadarajan, H Lin, L Tao, ... Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2 (3), 5, 2014 | 24 | 2014 |
| Efficient large scale video classification B Varadarajan, G Toderici, S Vijayanarasimhan, A Natsev arXiv preprint arXiv:1505.06250, 2015 | 21 | 2015 |
| Maximizing global entropy reduction for active learning in speech recognition B Varadarajan, D Yu, L Deng, A Acero 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 20 | 2009 |
| Quick fmllr for speaker adaptation in speech recognition B Varadarajan, D Povey, SM Chu 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 19 | 2008 |
| 8m: A large-scale video classification benchmark. arXiv 2016 S Abu-El-Haija, N Kothari, J Lee, P Natsev, G Toderici, B Varadarajan, ... arXiv preprint arXiv:1609.08675, 0 | 13 | |
| Automatically learning speaker-independent acoustic subword units B Varadarajan, S Khudanpur Ninth Annual Conference of the International Speech Communication Association, 2008 | 12 | 2008 |
| Exploring the relative role of bottom-up and top-down information in phoneme learning A Fourtassi, T Schatz, B Varadarajan, E Dupoux Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 11 | 2014 |
