| 3d-aware neural body fitting for occlusion robust 3d human pose estimation Y Zhang, P Ji, A Wang, J Mei, A Kortylewski, A Yuille ICCV 2023, 2023 | 24 | 2023 |
| Animal3d: A comprehensive dataset of 3d animal pose and shape J Xu, Y Zhang, J Peng, W Ma, A Jesslen, P Ji, Q Hu, J Zhang, Q Liu, ... ICCV 2023, 2023 | 11 | 2023 |
| Imc-net: Learning implicit field with corner attention network for 3d shape reconstruction J Jin, H Xu, P Ji, B Leng 2022 IEEE International Conference on Image Processing (ICIP), 1591-1595, 2022 | 11 | 2022 |
| Cross-Modal 2D-3D Localization with Single-Modal Query Z Zhao, H Yu, C Lyu, P Ji, X Yang, W Yang IGARSS 2023, 2023 | 8 | 2023 |
| Perspective, survey and trends: Public driving datasets and toolsets for autonomous driving virtual test P Ji, R Li, Y Xue, Q Dong, L Xiao, R Xue IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts B Bi, S Liu, L Mei, Y Wang, P Ji, X Cheng arXiv preprint arXiv:2405.11613, 2024 | 5 | 2024 |
| Self-Supervised Dense Depth Estimation with Panoramic Image and Sparse Lidar C Lyu, H Yu, Z Zhao, P Ji, X Yang, W Yang IGARSS 2023, 2023 | 3 | 2023 |
| Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding K Ma, H Huang, J Chen, H Chen, P Ji, X Zang, H Fang, C Ban, H Sun, ... arXiv preprint arXiv:2408.16272, 2024 | 2 | 2024 |
| Deceiving to Enlighten: Coaxing LLMs to Self-Reflection for Enhanced Bias Detection and Mitigation R Cheng, H Ma, S Cao, J Li, A Pei, Z Wang, P Ji, H Wang, J Huo arXiv preprint arXiv:2404.10160, 2024 | 2 | 2024 |
| Volumetric Neural Human for Robust Pose Optimization via Analysis-by-synthesis P Ji, A Wang, Y Zhang, A Kortylewski, A Yuille NeurIPS 2022 Workshop, 2022 | 2 | 2022 |
| PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval J Jin, H Xu, Z Tang, P Ji, Z Xiong ICCSMT 2021, 2021 | 2 | 2021 |
| NeuroBind: Towards Unified Multimodal Representations for Neural Signals F Yang, C Feng, D Wang, T Wang, Z Zeng, Z Xu, H Park, P Ji, H Zhao, Y Li, ... arXiv preprint arXiv:2407.14020, 2024 | 1 | 2024 |
| Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network A Tao, Y Duan, H Wang, Z Wu, P Ji, H Sun, J Zhou, J Lu arXiv preprint arXiv:2112.09428, 2021 | 1 | 2021 |
| Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Y Wang, Y Zhang, M Huo, R Tian, X Zhang, Y Xie, C Xu, P Ji, W Zhan, ... CoRL 2024, 2024 | | 2024 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
