| Safety-enhanced autonomous driving using interpretable sensor fusion transformer H Shao, L Wang, R Chen, H Li, Y Liu 6th Annual Conference on Robot Learning, 2022 | 173 | 2022 |
| Temporal interlacing network H Shao, S Qian, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11966 ¡K, 2020 | 90 | 2020 |
| Sphinx-x: Scaling data and parameters for a family of multi-modal large language models P Gao, R Zhang, C Liu, L Qiu, S Huang, W Lin, S Zhao, S Geng, Z Lin, ... arXiv preprint arXiv:2402.05935, 2024 | 58 | 2024 |
| Reasonnet: End-to-end driving with temporal and global reasoning H Shao, L Wang, R Chen, SL Waslander, H Li, Y Liu Proceedings of the IEEE/CVF conference on computer vision and pattern ¡K, 2023 | 58 | 2023 |
| Lmdrive: Closed-loop end-to-end driving with large language models H Shao, Y Hu, L Wang, G Song, SL Waslander, Y Liu, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡K, 2024 | 55 | 2024 |
| Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu, SL Waslander Robotics: Science and Systems (RSS 2023), 2023 | 24 | 2023 |
| Blending anti-aliasing into vision transformer S Qian, H Shao, Y Zhu, M Li, J Jia Advances in Neural Information Processing Systems 34, 5416-5429, 2021 | 19 | 2021 |
| Mova: Adapting mixture of vision experts to multimodal context Z Zong, B Ma, D Shen, G Song, H Shao, D Jiang, H Li, Y Liu arXiv preprint arXiv:2404.13046, 2024 | 14 | 2024 |
| Visual cot: Unleashing chain-of-thought reasoning in multi-modal language models H Shao, S Qian, H Xiao, G Song, Z Zong, L Wang, Y Liu, H Li arXiv preprint arXiv:2403.16999, 2024 | 9 | 2024 |
| DI-drive: OpenDILab decision intelligence platform for autonomous driving simulation DI Contributors | 9 | 2021 |
| 1st place solution for ava-kinetics crossover in acitivitynet challenge 2020 S Chen, J Pan, G Song, M Zhang, H Shao, Z Lin, J Shao, H Li, Y Liu arXiv preprint arXiv:2006.09116, 2020 | 6 | 2020 |
| Top-1 solution of multi-moments in time challenge 2019 M Zhang, H Shao, G Song, Y Liu, J Yan arXiv preprint arXiv:2003.05837, 2020 | 2 | 2020 |
| SmartRefine: An Scenario-Adaptive Refinement Framework for Efficient Motion Prediction Y Zhou*, H Shao*, L Wang, SL Waslander, H Li, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡K, 2024 | 1 | 2024 |
| Self-supervised temporal learning H Shao, Y Liu, H Li | 1 | 2021 |
| Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020 H Su, J Feng, H Shao, Z Jiang, M Zhang, W Wu, Y Liu, H Li, J Yan arXiv preprint arXiv:2007.09883, 2020 | | 2020 |
| SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models D Liu, R Zhang, L Qiu, S Huang, W Lin, S Zhao, S Geng, Z Lin, P Jin, ... Forty-first International Conference on Machine Learning, 0 | | |
| Team Efficient Multi-Moments in Time Challenge 2019 Technical Report M Zhang, H Shao, G Song, Y Liu, J Yan | | |
Yu LiuSenseTimeVerified email at sensetime.com
