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Runnan Chen (陈润楠)
Runnan Chen (陈润楠)
Verified email at cs.hku.hk
Title
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Cited by
Year
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
622019
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
452021
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
362020
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
142020
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
132022
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
102021
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
W Wang, M Zhang, R Chen, G Cai, P Zhou, P Peng, X Guo, J Wu, X Sun
IJCAI, 2021
92021
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
62022
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
62021
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
32021
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
arXiv preprint arXiv:2301.04926, 2023
12023
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
12022
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
12022
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
arXiv preprint arXiv:2303.05367, 2023
2023
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures
K Tang, G Wei, J Zhu, Y Ma, R Chen, Z Gu, W Wang
Referring Self-supervised Learning on 3D Point Cloud
R Chen, ZHU Xinge, N Chen, D Wang, W Li, Y Ma, R Yang, W Wang
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