| MMDetection3D: OpenMMLab next-generation platform for general 3D object detection M Contributors github.com/open-mmlab/mmdetection3d, 2022 | 467 | 2022 |
| CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP R Chen, Y Liu, L Kong, X Zhu, Y Ma, Y Li, Y Hou, Y Qiao, W Wang CVPR, 2023 | 289 | 2023 |
| Rethinking range view representation for lidar segmentation L Kong, Y Liu, R Chen, Y Ma, X Zhu, Y Li, Y Hou, Y Qiao, Z Liu ICCV, 2023 | 256 | 2023 |
| TSegNet: An efficient and accurate tooth segmentation network on 3D dental model Z Cui, C Li, N Chen, G Wei, R Chen, Y Zhou, D Shen, W Wang Medical Image Analysis 2021, 2021 | 229 | 2021 |
| Robo3d: Towards robust and reliable 3d perception against corruptions L Kong, Y Liu, X Li, R Chen, W Zhang, J Ren, L Pan, K Chen, Z Liu ICCV, 2023 | 189 | 2023 |
| Segment Any Point Cloud Sequences by Distilling Vision Foundation Models Y Liu, L Kong, J Cen, R Chen, W Zhang, L Pan, K Chen, Z Liu NeurIPS, 2023 | 187* | 2023 |
| Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting R Chen, Y Ma, N Chen, D Lee, W Wang MICCAI, 2019 | 133 | 2019 |
| IS-FUSION: Instance-scene Collaborative Fusion for Multimodal 3D Object Detection J Yin, J Shen, R Chen, W Li, R Yang, P Frossard, W Wang CVPR, 2024 | 120 | 2024 |
| Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase Y Liu, R Chen, X Li, L Kong, Y Yang, Z Xia, Y Bai, X Zhu, Y Ma, Y Li, ... ICCV, 2023 | 111* | 2023 |
| Towards label-free scene understanding by vision foundation models R Chen, Y Liu, L Kong, N Chen, X Zhu, Y Ma, T Liu, W Wang NeurIPS, 2023 | 91* | 2023 |
| Unsupervised learning of intrinsic structural representation points N Chen, L Liu, Z Cui, R Chen, D Ceylan, C Tu, W Wang CVPR, 2020 | 74 | 2020 |
| TANet: towards fully automatic tooth arrangement G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, W Wang ECCV, 2020 | 53 | 2020 |
| Multispace alignments towards universal lidar segmentation Y Liu, L Kong, X Wu, R Chen, X Li, L Pan, Z Liu, Y Ma CVPR, 2024 | 48 | 2024 |
| Structure-driven unsupervised domain adaptation for cross-modality cardiac segmentation Z Cui, C Li, Z Du, N Chen, G Wei, R Chen, L Yang, D Shen, W Wang IEEE TMI, 2021 | 45 | 2021 |
| See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data Y Lu, Q Jiang, R Chen, Y Hou, X Zhu, Y Ma ICCV, 2023 | 43 | 2023 |
| Structure-aware long short-term memory network for 3d cephalometric landmark detection R Chen, Y Ma, N Chen, L Liu, Z Cui, Y Lin, W Wang IEEE TMI, 2022 | 43 | 2022 |
| MMDetection3D: OpenMMLab next-generation platform for general 3D object detection M Contributors | 41* | 2022 |
| Learning to adapt sam for segmenting cross-domain point clouds X Peng, R Chen, F Qiao, L Kong, Y Liu, Y Sun, T Wang, X Zhu, Y Ma ECCV, 2024 | 40* | 2024 |
| Semi-supervised anatomical landmark detection via shape-regulated self-training R Chen, Y Ma, L Liu, N Chen, Z Cui, G Wei, W Wang Neurocomputing 2022, 2022 | 40 | 2022 |
| Human-centric Scene Understanding for 3D Large-scale Scenarios Y Xu, P Cong, Y Yao, R Chen, Y Hou, X Zhu, X He, J Yu, Y Ma ICCV, 2023 | 31 | 2023 |
Youquan LiuFudan UniversityVerified email at m.fudan.edu.cn
