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Runnan Chen
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2020 – today
- 2024
- [c23]Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian:
CORES: Convolutional Response-based Score for Out-of-distribution Detection. CVPR 2024: 10916-10925 - [c22]Youquan Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma:
Multi-Space Alignments Towards Universal LiDAR Segmentation. CVPR 2024: 14648-14661 - [c21]Junbo Yin, Jianbing Shen, Runnan Chen, Wei Li, Ruigang Yang, Pascal Frossard, Wenguan Wang:
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection. CVPR 2024: 14905-14915 - [c20]Yichen Yao, Zimo Jiang, Yujing Sun, Zhencai Zhu, Xinge Zhu, Runnan Chen, Yuexin Ma:
HUNTER: Unsupervised Human-Centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. CVPR 2024: 28120-28129 - [c19]Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Yujing Sun, Tai Wang, Xinge Zhu, Yuexin Ma:
Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds. ECCV (43) 2024: 54-71 - [c18]Siqi Wen, Hanqi Jiang, Cheng Zeng, Runnan Chen, Jidong Yuan, Shuai Liang, Yinhe Han:
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. ICIC (5) 2024: 47-58 - [c17]Tianyi Ma, Runnan Chen, Andy Tao Li, Hefu Liu:
Socratic ChatGPT: Theory, Design, and Empirical Evaluations. PACIS 2024 - [i23]Yichen Yao, Zimo Jiang, Yujing Sun, Zhencai Zhu, Xinge Zhu, Runnan Chen, Yuexin Ma:
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. CoRR abs/2403.02769 (2024) - [i22]Junbo Yin, Jianbing Shen, Runnan Chen, Wei Li, Ruigang Yang, Pascal Frossard, Wenguan Wang:
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection. CoRR abs/2403.15241 (2024) - [i21]Youquan Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma:
Multi-Space Alignments Towards Universal LiDAR Segmentation. CoRR abs/2405.01538 (2024) - [i20]Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen:
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models. CoRR abs/2405.14870 (2024) - 2023
- [c16]Runnan Chen, Youquan Liu, Lingdong Kong
, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang:
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. CVPR 2023: 7020-7030 - [c15]Lingdong Kong
Rethinking Range View Representation for LiDAR Segmentation. ICCV 2023: 228-240 - [c14]Lingdong Kong
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. ICCV 2023: 19937-19949 - [c13]Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma:
Human-centric Scene Understanding for 3D Large-scale Scenarios. ICCV 2023: 20292-20302 - [c12]Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. ICCV 2023: 21605-21616 - [c11]Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma:
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. ICCV 2023: 21617-21627 - [c10]Runnan Chen
Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation. ACM Multimedia 2023: 5380-5388 - [c9]Runnan Chen, Lei Zhang:
A Probabilistic Guide for Domestic Stocks Delisting Risk from the Nature of Bayesian Matrix. MMBD 2023: 80-85 - [c8]Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang:
Towards Label-free Scene Understanding by Vision Foundation Models. NeurIPS 2023 - [c7]Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu:
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models. NeurIPS 2023 - [i19]Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang:
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. CoRR abs/2301.04926 (2023) - [i18]Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu:
Rethinking Range View Representation for LiDAR Segmentation. CoRR abs/2303.05367 (2023) - [i17]Hanqi Jiang, Cheng Zeng, Runnan Chen, Shuai Liang, Yinhe Han, Yichao Gao, Conglin Wang:
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. CoRR abs/2303.17088 (2023) - [i16]Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu:
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. CoRR abs/2303.17597 (2023) - [i15]Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang:
Towards Label-free Scene Understanding by Vision Foundation Models. CoRR abs/2306.03899 (2023) - [i14]Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu:
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models. CoRR abs/2306.09347 (2023) - [i13]Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma:
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. CoRR abs/2307.10782 (2023) - [i12]Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma:
Human-centric Scene Understanding for 3D Large-scale Scenarios. CoRR abs/2307.14392 (2023) - [i11]Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou:
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. CoRR abs/2309.05573 (2023) - [i10]Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Tongliang Liu, Wenping Wang:
Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training. CoRR abs/2309.16956 (2023) - [i9]Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, Xinge Zhu, Yuexin Ma:
SAM-guided Unsupervised Domain Adaptation for 3D Segmentation. CoRR abs/2310.08820 (2023) - 2022
- [j4]Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, Wenping Wang:
Semi-supervised anatomical landmark detection via shape-regulated self-training. Neurocomputing 471: 335-345 (2022) - [j3]Runnan Chen
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. IEEE Trans. Medical Imaging 41(7): 1791-1801 (2022) - [i8]Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang:
Towards 3D Scene Understanding by Referring Synthetic Models. CoRR abs/2203.10546 (2022) - [i7]Runnan Chen, Xinge Zhu, Nenglun Chen, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang:
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives. CoRR abs/2210.09923 (2022) - 2021
- [j2]Zhiming Cui, Changjian Li, Nenglun Chen, Guodong Wei, Runnan Chen, Yuanfeng Zhou, Dinggang Shen, Wenping Wang:
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Anal. 69: 101949 (2021) - [j1]Zhiming Cui
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. IEEE Trans. Medical Imaging 40(12): 3604-3616 (2021) - [c6]Runnan Chen, Penghao Zhou, Wenzhe Wang
PR-Net: Preference Reasoning for Personalized Video Highlight Detection. ICCV 2021: 7960-7969 - [c5]Wenzhe Wang
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. IJCAI 2021: 1113-1121 - [c4]Nenglun Chen, Xingjia Pan, Runnan Chen, Lei Yang, Zhiwen Lin, Yuqiang Ren, Haolei Yuan, Xiaowei Guo, Feiyue Huang, Wenping Wang:
Distributed Attention for Grounded Image Captioning. ACM Multimedia 2021: 1966-1975 - [i6]Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, Wenping Wang:
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training. CoRR abs/2105.13593 (2021) - [i5]Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang:
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. CoRR abs/2107.09899 (2021) - [i4]Nenglun Chen, Xingjia Pan, Runnan Chen, Lei Yang, Zhiwen Lin, Yuqiang Ren, Haolei Yuan, Xiaowei Guo, Feiyue Huang, Wenping Wang:
Distributed Attention for Grounded Image Captioning. CoRR abs/2108.01056 (2021) - [i3]Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang:
PR-Net: Preference Reasoning for Personalized Video Highlight Detection. CoRR abs/2109.01799 (2021) - 2020
- [c3]Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. CVPR 2020: 9118-9127 - [c2]Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang:
TANet: Towards Fully Automatic Tooth Arrangement. ECCV (15) 2020: 481-497 - [i2]Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. CoRR abs/2003.01661 (2020)
2010 – 2019
- 2019
- [c1]Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang:
Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting. MICCAI (3) 2019: 873-881 - [i1]Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang:
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting. CoRR abs/1908.08841 (2019)
Coauthor Index
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last updated on 2024-12-10 21:45 CET by the dblp team
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