Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction P Zhang, W Ouyang, P Zhang, J Xue, N Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 516 | 2019 |
BLVD: Building a large-scale 5D semantics benchmark for autonomous driving J Xue, J Fang, T Li, B Zhang, P Zhang, Z Ye, J Dou 2019 International Conference on Robotics and Automation (ICRA), 6685-6691, 2019 | 61 | 2019 |
A survey of scene understanding by event reasoning in autonomous driving JR Xue, JW Fang, P Zhang International Journal of Automation and Computing 15 (3), 249-266, 2018 | 57 | 2018 |
Social-aware pedestrian trajectory prediction via states refinement LSTM P Zhang, J Xue, P Zhang, N Zheng, W Ouyang IEEE transactions on pattern analysis and machine intelligence 44 (5), 2742-2759, 2020 | 43 | 2020 |
Fend: A future enhanced distribution-aware contrastive learning framework for long-tail trajectory prediction Y Wang, P Zhang, L Bai, J Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
Trajectory forecasting from detection with uncertainty-aware motion encoding P Zhang, L Bai, J Xue, J Fang, N Zheng, W Ouyang arXiv preprint arXiv:2202.01478, 2022 | 8 | 2022 |
Heterogeneous trajectory forecasting via risk and scene graph learning J Fang, C Zhu, P Zhang, H Yu, J Xue IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
Towards trajectory forecasting from detection P Zhang, L Bai, Y Wang, J Fang, J Xue, N Zheng, W Ouyang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
Enhancing mapless trajectory prediction through knowledge distillation Y Wang, P Zhang, L Bai, J Xue arXiv preprint arXiv:2306.14177, 2023 | 2 | 2023 |
CalibDepth: Unifying Depth Map Representation for Iterative LiDAR-Camera Online Calibration J Zhu, J Xue, P Zhang 2023 IEEE International Conference on Robotics and Automation (ICRA), 726-733, 2023 | 2 | 2023 |
A Space-Refine Paradigm for Automatic Carotid Artery Centerline Extraction in Magnetic Resonance Imaging P Zhang, J Xin, J Wu, N Zheng 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Supplementary Materials for FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework For Long-tail Trajectory Prediction Y Wang, P Zhang, L Bai, J Xue | | |