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 | 1577 | 2016 |
Tnt: Target-driven trajectory prediction H Zhao, J Gao, T Lan, C Sun, B Sapp, B Varadarajan, Y Shen, Y Shen, ... Conference on Robot Learning, 895-904, 2021 | 638 | 2021 |
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 (2014), 3, 2014 | 496 | 2014 |
Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction B Varadarajan, A Hefny, A Srivastava, KS Refaat, N Nayakanti, ... 2022 International Conference on Robotics and Automation (ICRA), 7814-7821, 2022 | 337 | 2022 |
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 | 175 | 2010 |
Unsupervised learning of acoustic sub-word units B Varadarajan, S Khudanpur, E Dupoux Proceedings of ACL-08: HLT, Short Papers, 165-168, 2008 | 136 | 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 | 135 | 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 | 122 | 2013 |
Automatic recognition of surgical motions using statistical modeling for capturing variability BVMSSK PH, D Da David Medicine Meets Virtual Reality 16: Parallel, Combinatorial, Convergent …, 2008 | 102 | 2008 |
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 | 96 | 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 | 75 | 2018 |
Universal background model based speech recognition D Povey, SM Chu, B Varadarajan 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 65 | 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 |
Youtube-8m: a large-scale video classification benchmark (2016) S Abu-El-Haija, N Kothari, J Lee, P Natsev, G Toderici, B Varadarajan, ... arXiv preprint arXiv:1609.08675, 2001 | 38 | 2001 |
Learning and inference algorithms for dynamical system models of dextrous motion B Varadarajan The Johns Hopkins University, 2011 | 36 | 2011 |
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 | 29 | |
Longvu: Spatiotemporal adaptive compression for long video-language understanding X Shen, Y Xiong, C Zhao, L Wu, J Chen, C Zhu, Z Liu, F Xiao, ... arXiv preprint arXiv:2410.17434, 2024 | 28 | 2024 |
Efficient large scale video classification B Varadarajan, G Toderici, S Vijayanarasimhan, A Natsev arXiv preprint arXiv:1505.06250, 2015 | 27 | 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 | 27 | 2009 |
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 | 26 | 2014 |