| Towards fully autonomous driving: Systems and algorithms J Levinson, J Askeland, J Becker, J Dolson, D Held, S Kammel, JZ Kolter, ... 2011 IEEE intelligent vehicles symposium (IV), 163-168, 2011 | 1498 | 2011 |
| Learning to track at 100 fps with deep regression networks D Held, S Thrun, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1378 | 2016 |
| Constrained policy optimization J Achiam, D Held, A Tamar, P Abbeel International conference on machine learning, 22-31, 2017 | 1012 | 2017 |
| Pcn: Point completion network W Yuan, T Khot, D Held, C Mertz, M Hebert 2018 international conference on 3D vision (3DV), 728-737, 2018 | 593 | 2018 |
| Automatic goal generation for reinforcement learning agents C Florensa, D Held, X Geng, P Abbeel International conference on machine learning, 1515-1528, 2018 | 430* | 2018 |
| Reverse curriculum generation for reinforcement learning C Florensa, D Held, M Wulfmeier, M Zhang, P Abbeel Conference on robot learning, 482-495, 2017 | 402 | 2017 |
| 3d multi-object tracking: A baseline and new evaluation metrics X Weng, J Wang, D Held, K Kitani 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 241 | 2020 |
| Enabling robots to communicate their objectives SH Huang, D Held, P Abbeel, AD Dragan Autonomous Robots 43, 309-326, 2019 | 129 | 2019 |
| Softgym: Benchmarking deep reinforcement learning for deformable object manipulation X Lin, Y Wang, J Olkin, D Held Conference on Robot Learning, 432-448, 2021 | 116 | 2021 |
| Combining 3D Shape, Color, and Motion for Robust Anytime Tracking D Held, J Levinson, S Thrun, S Savarese Robotics: Science and Systems, 2014 | 115* | 2014 |
| Just go with the flow: Self-supervised scene flow estimation H Mittal, B Okorn, D Held Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 111 | 2020 |
| What you see is what you get: Exploiting visibility for 3d object detection P Hu, J Ziglar, D Held, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 106 | 2020 |
| Adaptive auxiliary task weighting for reinforcement learning X Lin, H Baweja, G Kantor, D Held Advances in neural information processing systems 32, 2019 | 82 | 2019 |
| Precision Tracking with Sparse 3D and Dense Color 2D Data D Held, J Levinson, S Thrun | 80 | 2013 |
| Plas: Latent action space for offline reinforcement learning W Zhou, S Bajracharya, D Held Conference on Robot Learning, 1719-1735, 2021 | 79 | 2021 |
| Robust single-view instance recognition D Held, S Thrun, S Savarese 2016 IEEE International Conference on Robotics and Automation (ICRA), 2152-2159, 2016 | 79* | 2016 |
| MVWT-II: The second generation caltech multi-vehicle wireless testbed Z Jin, S Waydo, EB Wildanger, M Lammers, H Scholze, P Foley, D Held, ... Proceedings of the 2004 American control conference 6, 5321-5326, 2004 | 74 | 2004 |
| Learning visible connectivity dynamics for cloth smoothing X Lin, Y Wang, Z Huang, D Held Conference on Robot Learning, 256-266, 2022 | 58 | 2022 |
| Ab3dmot: A baseline for 3d multi-object tracking and new evaluation metrics X Weng, J Wang, D Held, K Kitani arXiv preprint arXiv:2008.08063, 2020 | 51 | 2020 |
| Robust real-time tracking combining 3D shape, color, and motion D Held, J Levinson, S Thrun, S Savarese The International Journal of Robotics Research 35 (1-3), 30-49, 2016 | 50 | 2016 |
Sebastian ThrunStanfordVerified email at stanford.edu
