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Runnan Chen (陈润楠)
Runnan Chen (陈润楠)
Verified email at cs.hku.hk
Title
Cited by
Cited by
Year
MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
M Contributors
1332020
Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting
R Chen, Y Ma, N Chen, D Lee, W Wang
MICCAI 2019, 2019
672019
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
532021
Unsupervised learning of intrinsic structural representation points
N Chen, L Liu, Z Cui, R Chen, D Ceylan, C Tu, W Wang
CVPR 2020, 2020
422020
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
172022
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 2021, 2021
152021
TANet: towards fully automatic tooth arrangement
G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, W Wang
ECCV 2020, 2020
152020
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, 2021
122021
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 2022, 2022
92022
Distributed attention for grounded image captioning
N Chen, X Pan, R Chen, L Yang, Z Lin, Y Ren, H Yuan, X Guo, F Huang, ...
ACM MM 2021, 2021
72021
Pr-net: Preference reasoning for personalized video highlight detection
R Chen, P Zhou, W Wang, N Chen, P Peng, X Sun, W Wang
ICCV 2021, 2021
32021
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
arXiv preprint arXiv:2303.17597, 2023
22023
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, 2023
22023
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
22022
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
12023
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
Studies on attention modeling for visual understanding
R Chen
HKU Theses Online (HKUTO), 2023
2023
Benchmarking 3D Perception Robustness to Common Corruptions and Sensor Failure
L Kong, Y Liu, X Li, R Chen, W Zhang, J Ren, L Pan, K Chen, Z Liu
ICLR Workshop on Scene Representations for Autonomous Driving 2023, 2023
2023
PCSeg: An Open Source Point Cloud Segmentation Codebase
LY Liu Youquan, Bai Yeqi, Kong Lingdong, Chen Runnan, Hou Yuenan, Shi Botian
https://github.com/PJLab-ADG/PCSeg, 2023
2023
Referring Self-supervised Learning on 3D Point Cloud
R Chen, ZHU Xinge, N Chen, D Wang, W Li, Y Ma, R Yang, W Wang
2021
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