| Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction B Sapp, Y Chai, M Bansal, D Anguelov arXiv preprint arXiv:1910.05449, 2019 | 764 | 2019 |
| Learning from partial labels T Cour, B Sapp, B Taskar The Journal of Machine Learning Research 12, 1501-1536, 2011 | 638 | 2011 |
| 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 | 629 | 2021 |
| MODEC: Multimodal Decomposable Models for Human Pose Estimation B Sapp, B Taskar CVPR, 2013 | 601 | 2013 |
| Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 594 | 2021 |
| The unreasonable effectiveness of noisy data for fine-grained recognition J Krause, B Sapp, A Howard, H Zhou, A Toshev, T Duerig, J Philbin, ... Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 441 | 2016 |
| Scene transformer: A unified architecture for predicting multiple agent trajectories J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417, 2021 | 398* | 2021 |
| 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 | 332 | 2022 |
| Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions J Hong, B Sapp, J Philbin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 323 | 2019 |
| Cascaded Models for Articulated Pose Estimation B Sapp, A Toshev, B Taskar Computer Vision–ECCV 2010, 406-420, 2010 | 313 | 2010 |
| Practicality of accelerometer side channels on smartphones AJ Aviv, B Sapp, M Blaze, JM Smith Proceedings of the 28th annual computer security applications conference, 41-50, 2012 | 311 | 2012 |
| Wayformer: Motion forecasting via simple & efficient attention networks N Nayakanti, R Al-Rfou, A Zhou, K Goel, KS Refaat, B Sapp 2023 IEEE International Conference on Robotics and Automation (ICRA), 2980-2987, 2023 | 279 | 2023 |
| Learning from ambiguously labeled images T Cour, B Sapp, C Jordan, B Taskar 2009 IEEE conference on computer vision and pattern recognition, 919-926, 2009 | 251 | 2009 |
| Parsing human motion with stretchable models B Sapp, D Weiss, B Taskar CVPR 2011, 1281-1288, 2011 | 208 | 2011 |
| Adaptive pose priors for pictorial structures B Sapp, C Jordan, B Taskar 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 190 | 2010 |
| Structured prediction cascades D Weiss, B Taskar Proceedings of the thirteenth international conference on artificial …, 2010 | 154 | 2010 |
| Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. S Gould, J Arfvidsson, A Kaehler, B Sapp, M Messner, GR Bradski, ... Ijcai 7, 2115-2121, 2007 | 116 | 2007 |
| Motiondiffuser: Controllable multi-agent motion prediction using diffusion C Jiang, A Cornman, C Park, B Sapp, Y Zhou, D Anguelov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 110 | 2023 |
| Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 7730-7742, 2023 | 105 | 2023 |
| Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios Y Lu, J Fu, G Tucker, X Pan, E Bronstein, R Roelofs, B Sapp, B White, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 97 | 2023 |
Dragomir AnguelovVP and Head of Research, WaymoEmail verificata su cs.stanford.edu
