| 2026 | AAAI | SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries. | Chenxu Dang, Haiyan Liu, Jason Bao, Pei An, Xinyue Tang, An Pan, Jie Ma, Bingchuan Sun, Yan Wang |
| 2025 | CVPR | FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection. | Chenxu Dang, Zaipeng Duan, Pei An, Xinmin Zhang, Xuzhong Hu, Jie Ma |
| 2025 | CVPR | SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction. | Zaipeng Duan, Chenxu Dang, Xuzhong Hu, Pei An, Junfeng Ding, Jie Zhan, YunBiao Xu, Jie Ma |
| 2025 | CVPR | Unlocking Generalization Power in LiDAR Point Cloud Registration. | Zhenxuan Zeng, Qiao Wu, Xiyu Zhang, Lin Yuanbo Wu, Pei An, Jiaqi Yang, Ji Wang, Peng Wang |
| 2025 | ICCV | MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP. | Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Xiaolin Wu, Liangliang Nan |
| 2025 | IJCAI | Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship. | Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Jie Ma, Liangliang Nan |
| 2024 | ECCV | 3D Single-Object Tracking in Point Clouds with High Temporal Variation. | Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang |
| 2024 | ICASSP | Low-Rank Completion Based Normal Guided Lidar Point Cloud Up-Sampling. | Pei An, Di Zhu, You Yang, Jie Ma |
| 2022 | AAAI | Distribution Aware VoteNet for 3D Object Detection. | Junxiong Liang, Pei An, Jie Ma |
| 2021 | ICCV | Feature Interactive Representation for Point Cloud Registration. | Bingli Wu, Jie Ma, Gaojie Chen, Pei An |
| 2021 | ICIP | Straight Sampling Network for Point Cloud Learning. | Ran Sun, Gaojie Chen, Jie Ma, Pei An |