| Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding P Zhu, M Qi, X Li, W Li, H Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Following in the Footsteps: Predicting Human Trajectories Using Motion Pattern Memory Y Yang, P Zhu, M Qi, H Ma Proceedings of the 6th ACM International Conference on Multimedia in Asia, 1-7, 2024 | 1 | 2024 |
| Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning J Guo, M Feng, P Zhu, J Dou, D Feng, C Li, R Wan, J Pu 2024 IEEE International Conference on Robotics and Automation (ICRA), 16475 …, 2024 | 1 | 2024 |
| Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction Y Yang, P Zhu, M Qi, H Ma arXiv preprint arXiv:2401.02916, 2024 | 1 | 2024 |
| Target-driven Self-Distillation for Partial Observed Trajectories Forecasting P Zhu, P Shu, M Qi, L Liu, H Ma arXiv preprint arXiv:2501.16767, 2025 | | 2025 |
| Towards Robust Unsupervised Attention Prediction in Autonomous Driving M Qi, X Bi, P Zhu, H Ma arXiv preprint arXiv:2501.15045, 2025 | | 2025 |
| Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning J Guo, M Feng, P Zhu, C Li, J Pu arXiv preprint arXiv:2407.05376, 2024 | | 2024 |
