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2020 – today
- 2024
[j6]Fangzhou Hong
, Lingdong Kong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu:
Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3480-3495 (2024)- [c21]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 - [c20]Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi:
OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies. CVPR 2024: 15686-15698 - [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]Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu:
4D Contrastive Superflows are Dense 3D Representation Learners. ECCV (1) 2024: 58-80 - [i30]Jingyi Xu, Weidong Yang, Lingdong Kong, Youquan Liu, Rui Zhang, Qingyuan Zhou, Ben Fei:
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CoRR abs/2403.10001 (2024) - [i29]Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang:
Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions. CoRR abs/2403.17009 (2024) - [i28]Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu:
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding. CoRR abs/2403.17010 (2024) - [i27]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) - [i26]Lingdong Kong, Xiang Xu, Jiawei Ren, Wenwei Zhang, Liang Pan, Kai Chen, Wei Tsang Ooi, Ziwei Liu:
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving. CoRR abs/2405.05258 (2024) - [i25]Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi:
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies. CoRR abs/2405.05259 (2024) - [i24]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - [i23]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) - [i22]Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu:
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving. CoRR abs/2405.17426 (2024) - [i21]Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang:
Is Your HD Map Constructor Reliable under Sensor Corruptions? CoRR abs/2406.12214 (2024) - [i20]Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu:
4D Contrastive Superflows are Dense 3D Representation Learners. CoRR abs/2407.06190 (2024) - [i19]Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu, Tong He, Wanli Ouyang, Hengshuang Zhao:
Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation. CoRR abs/2407.15282 (2024) - 2023
- [c17]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 - [c16]Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu:
LaserMix for Semi-Supervised LiDAR Semantic Segmentation. CVPR 2023: 21706-21716 - [c15]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. ICCV 2023: 228-240 - [c14]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. ICCV 2023: 19937-19949 - [c13]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. ICCV 2023: 21605-21616 - [c12]Lingdong Kong, Niamul Quader, Venice Erin Liong:
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation. ICRA 2023: 9338-9345 - [c11]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 - [c10]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi:
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. NeurIPS 2023 - [c9]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 - [c8]Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin:
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS 2023 - [i18]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) - [i17]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) - [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]Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu:
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions. CoRR abs/2304.06719 (2023) - [i14]Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen:
SAD: Segment Any RGBD. CoRR abs/2305.14207 (2023) - [i13]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) - [i12]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) - [i11]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i10]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) - [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) - [i8]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi:
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. CoRR abs/2310.15171 (2023) - [i7]Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu:
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. CoRR abs/2312.04484 (2023) - 2022
- [i6]Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu:
LaserMix for Semi-Supervised LiDAR Semantic Segmentation. CoRR abs/2207.00026 (2022) - [i5]Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma:
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR abs/2208.07365 (2022) - 2021
- [j5]Zhijun Zhang, Lunan Zheng, Zhuoming Chen, Lingdong Kong, Hamid Reza Karimi:
Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1052-1066 (2021) - [i4]Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Yao Chen, Le Zhang:
Free Lunch for Co-Saliency Detection: Context Adjustment. CoRR abs/2108.02093 (2021) - [i3]Lingdong Kong, Niamul Quader, Venice Erin Liong:
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation. CoRR abs/2111.15242 (2021) - 2020
- [j4]Zhijun Zhang, Xianzhi Deng, Lingdong Kong, Shuai Li:
A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots. IEEE Trans. Cogn. Dev. Syst. 12(3): 575-587 (2020) - [j3]Zhijun Zhang, Lingdong Kong, Lunan Zheng, Pengchao Zhang, Xilong Qu, Bolin Liao, Zhuliang Yu:
Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5106-5118 (2020) - [i2]Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang:
Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots. CoRR abs/2008.06899 (2020) - [i1]Lingdong Kong:
Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs. CoRR abs/2008.08228 (2020)
2010 – 2019
- 2019
- [j2]Zhijun Zhang, Ling-Dong Kong, Lunan Zheng:
Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2419-2433 (2019) - 2018
- [j1]Zhijun Zhang, Xianzhi Deng, Xilong Qu, Bolin Liao, Ling-Dong Kong, Lulan Li:
A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation. IEEE Access 6: 77940-77952 (2018) - [c7]Zhijun Zhang, Lingdong Kong, Yaru Niu:
A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms. ISNN 2018: 757-767 - [c6]Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong:
Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language. ISNN 2018: 775-785 - [c5]Zhijun Zhang, Lingdong Kong, Ziyi Yan, Ke Chen, Shuai Li, Xilong Qu, Ning Tan:
Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators. ROBIO 2018: 1645-1652 - 2010
- [c4]Lingdong Kong, Hong Zhang:
A fuzzy spatial Petri nets. FSKD 2010: 32-36
2000 – 2009
- 2009
- [c3]Yu Zhu, Hong Zhang, Ling-Dong Kong:
Research of Coal-Gas Outburst Forecasting Based on Artificial Immune Network Clustering Model. WKDD 2009: 23-27 - [c2]Yu Zhu, Hong Zhang, Ling-Dong Kong:
Research of Coal and Gas Outburst Forecasting Based on Immune Genetic Neural Network. WKDD 2009: 28-31 - 2007
- [c1]Hong Zhang, Bo Zhang, Lingdong Kong, Zhengxing Cai:
Generalized Association Rule Mining Algorithms based on Data Cube. SNPD (2) 2007: 803-808
Coauthor Index
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last updated on 2024-10-11 17:25 CEST by the dblp team
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