| Markov chain Monte Carlo data association for multi-target tracking S Oh, S Russell, S Sastry IEEE Transactions on Automatic Control 54 (3), 481-497, 2009 | 491 | 2009 |
| Markov chain Monte Carlo data association for general multiple-target tracking problems S Oh, S Russell, S Sastry 2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004 | 357 | 2004 |
| Distributed learning and cooperative control for multi-agent systems J Choi, S Oh, R Horowitz Automatica 45 (12), 2802-2814, 2009 | 270 | 2009 |
| CITRIC: A low-bandwidth wireless camera network platform P Chen, P Ahammad, C Boyer, SI Huang, L Lin, E Lobaton, M Meingast, ... 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 1-10, 2008 | 269 | 2008 |
| Tracking and coordination of multiple agents using sensor networks: System design, algorithms and experiments S Oh, L Schenato, P Chen, S Sastry Proceedings of the IEEE 95 (1), 234-254, 2007 | 210 | 2007 |
| Text2action: Generative adversarial synthesis from language to action H Ahn, T Ha, Y Choi, H Yoo, S Oh 2018 IEEE International Conference on Robotics and Automation (ICRA), 5915-5920, 2018 | 136 | 2018 |
| Mobile sensor network navigation using Gaussian processes with truncated observations Y Xu, J Choi, S Oh IEEE Transactions on Robotics 27 (6), 1118-1131, 2011 | 132 | 2011 |
| Instrumenting wireless sensor networks for real-time surveillance S Sastry, M Manzo, S Oh, P Chen Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 132 | 2006 |
| A hierarchical multiple-target tracking algorithm for sensor networks S Oh, S Sastry, L Schenato Proceedings of the 2005 IEEE international conference on robotics and …, 2005 | 126 | 2005 |
| Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling S Choi, K Lee, S Lim, S Oh 2018 IEEE International Conference on Robotics and Automation (ICRA), 6915-6922, 2018 | 125 | 2018 |
| Procrustean normal distribution for non-rigid structure from motion M Lee, J Cho, CH Choi, S Oh Proceedings of the IEEE Conference on computer vision and pattern …, 2013 | 109 | 2013 |
| Swarm coordination for pursuit evasion games using sensor networks L Schenato, S Oh, S Sastry, P Bose Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 107 | 2005 |
| Tracking on a graph S Oh, S Sastry IPSN 2005. Fourth International Symposium on Information Processing in …, 2005 | 102 | 2005 |
| Human behavior prediction for smart homes using deep learning S Choi, E Kim, S Oh 2013 IEEE RO-MAN, 173-179, 2013 | 87 | 2013 |
| Robust action recognition using local motion and group sparsity J Cho, M Lee, HJ Chang, S Oh Pattern Recognition 47 (5), 1813-1825, 2014 | 77 | 2014 |
| Nestednet: Learning nested sparse structures in deep neural networks E Kim, C Ahn, S Oh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 74 | 2018 |
| Sparse markov decision processes with causal sparse tsallis entropy regularization for reinforcement learning K Lee, S Choi, S Oh IEEE Robotics and Automation Letters 3 (3), 1466-1473, 2018 | 72 | 2018 |
| Visual graph memory with unsupervised representation for visual navigation O Kwon, N Kim, Y Choi, H Yoo, J Park, S Oh Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 58 | 2021 |
| Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes J Choi, J Lee, S Oh 2008 American Control Conference, 135-140, 2008 | 58 | 2008 |
| Elastic-net regularization of singular values for robust subspace learning E Kim, M Lee, S Oh Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 57 | 2015 |
Shankar SastryUniversity of Californiaberkeley.edu의 이메일 확인됨
