| Learning by cheating D Chen, B Zhou, V Koltun, P Krähenbühl Conference on Robot Learning (CoRL), 2020 | 708 | 2020 |
| Combining self-supervised learning and imitation for vision-based rope manipulation A Nair, D Chen, P Agrawal, P Isola, P Abbeel, J Malik, S Levine International Conference on Robotics and Automation (ICRA), 2017 | 379 | 2017 |
| Zero-shot visual imitation D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ... International Conference on Learning Representations (ICLR), 2018 | 363 | 2018 |
| Learning from All Vehicles D Chen, P Krähenbühl Computer Vision and Pattern Recognition (CVPR), 2022 | 294 | 2022 |
| Learning to drive from a world on rails D Chen, V Koltun, P Krähenbühl International Conference on Computer Vision (ICCV), 2021 | 183 | 2021 |
| Motionlm: Multi-agent motion forecasting as language modeling A Seff, B Cera, D Chen, M Ng, A Zhou, N Nayakanti, KS Refaat, R Al-Rfou, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 174 | 2023 |
| Coopernaut: End-to-end driving with cooperative perception for networked vehicles J Cui, H Qiu, D Chen, P Stone, Y Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 171 | 2022 |
| Learning instance segmentation by interaction D Pathak, Y Shentu, D Chen, P Agrawal, T Darrell, S Levine, J Malik Computer Vision and Pattern Recognition (CVPR) Workshop, 2018 | 57 | 2018 |
| Learning to drive via asymmetric self-play C Zhang, S Biswas, K Wong, K Fallah, L Zhang, D Chen, S Casas, ... European Conference on Computer Vision, 149-168, 2024 | 9 | 2024 |
| Trajectory prediction by sampling sequences of discrete motion tokens A Seff, R Al-Rfou, AB Cera, N Nayakanti, AQ Zhou, M Ng, B Sapp, D Chen, ... US Patent App. 18/600,159, 2024 | 1 | 2024 |
| 3D sensing for autonomous robots and smart infrastructure H Qiu, D Chen, W Wang | | |
Philipp KrähenbühlUT Austin / AppleVerified email at cs.utexas.edu
