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 69, 101949, 2021 | 121 | 2021 |
Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting R Chen, Y Ma, N Chen, D Lee, W Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 101 | 2019 |
Unsupervised Learning of Intrinsic Structural Representation Points N Chen, L Liu, Z Cui, R Chen, D Ceylan, C Tu, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
Point2Skeleton: Learning Skeletal Representations from Point Clouds C Lin, C Li, Y Liu, N Chen, YK Choi, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
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 Transactions on Medical Imaging 40 (12), 3604-3616, 2021 | 32 | 2021 |
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 471, 335-345, 2022 | 27 | 2022 |
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 Transactions on Medical Imaging 41 (7), 1791-1801, 2022 | 24 | 2022 |
TANet: towards fully automatic tooth arrangement G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, W Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 22 | 2020 |
Distributed attention for grounded image captioning N Chen, X Pan, R Chen, L Yang, Z Lin, Y Ren, H Yuan, X Guo, F Huang, ... Proceedings of the 29th ACM International Conference on Multimedia, 1966-1975, 2021 | 16 | 2021 |
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 arXiv preprint arXiv:2306.03899, 2023 | 13 | 2023 |
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives R Chen, X Zhu, N Chen, W Li, Y Ma, R Yang, W Wang arXiv preprint arXiv:2210.09923, 2022 | 13 | 2022 |
CurveFusion: reconstructing thin structures from RGBD sequences L Liu, N Chen, D Ceylan, C Theobalt, W Wang, NJ Mitra arXiv preprint arXiv:2107.05284, 2021 | 13 | 2021 |
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes L Yang, W Liu, Z Cui, N Chen, W Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 13 | 2020 |
Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video P Wang, L Liu, N Chen, HK Chu, C Theobalt, W Wang ACM Transactions on Graphics (TOG) 39 (4), 132: 1-132: 12, 2020 | 12 | 2020 |
PR-Net: Preference Reasoning for Personalized Video Highlight Detection R Chen, P Zhou, W Wang, N Chen, P Peng, X Sun, W Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
Towards 3D Scene Understanding by Referring Synthetic Models R Chen, X Zhu, N Chen, D Wang, W Li, Y Ma, R Yang, W Wang arXiv preprint arXiv:2203.10546, 2022 | 7 | 2022 |
Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation R Chen, X Zhu, N Chen, W Li, Y Ma, R Yang, W Wang Proceedings of the 31st ACM International Conference on Multimedia, 5380-5388, 2023 | 6 | 2023 |
Self-Supervised Image Representation Learning with Geometric Set Consistency N Chen, L Chu, H Pan, Y Lu, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, and Wenping Wang R Chen, Y Liu Towards label-free scene understanding by vision foundation models 3, 2023 | 5 | 2023 |
Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training R Chen, X Zhu, N Chen, D Wang, W Li, Y Ma, R Yang, T Liu, W Wang arXiv preprint arXiv:2309.16956, 2023 | 2 | 2023 |