Lingdong Kong

According to our database, Lingdong Kong authored at least 49 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks.

Fangzhou Hong, Lingdong Kong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency.

Dongyue Lu, Lingdong Kong, Tianxin Huang, Gim Hee Lee

CoRR, 2024

FlexEvent: Event Camera Object Detection at Arbitrary Frequencies.

Dongyue Lu, Lingdong Kong, Gim Hee Lee, Camille Simon Chane, Wei Tsang Ooi

CoRR, 2024

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding.

Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang

CoRR, 2024

DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes.

Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu

CoRR, 2024

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation.

Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu, Tong He, Wanli Ouyang, Hengshuang Zhao

CoRR, 2024

Is Your HD Map Constructor Reliable under Sensor Corruptions?

Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

CoRR, 2024

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving.

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

CoRR, 2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

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

CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.

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

CoRR, 2024

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving.

Lingdong Kong, Xiang Xu, Jiawei Ren, Wenwei Zhang, Liang Pan, Kai Chen, Wei Tsang Ooi, Ziwei Liu

CoRR, 2024

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding.

Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

CoRR, 2024

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions.

Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

CoRR, 2024

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.

Jingyi Xu, Weidong Yang, Lingdong Kong, Youquan Liu, Rui Zhang, Qingyuan Zhou, Ben Fei

CoRR, 2024

4D Contrastive Superflows are Dense 3D Representation Learners.

Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds.

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Yujing Sun, Tai Wang, Xinge Zhu, Yuexin Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Space Alignments Towards Universal LiDAR Segmentation.

Youquan Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies.

Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu

CoRR, 2023

SAM-guided Unsupervised Domain Adaptation for 3D Segmentation.

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, Xinge Zhu, Yuexin Ma

CoRR, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

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

CoRR, 2023

SAD: Segment Any RGBD.

Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen

CoRR, 2023

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions.

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

CoRR, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.

Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label-free Scene Understanding by Vision Foundation Models.

Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation.

Lingdong Kong, Niamul Quader, Venice Erin Liong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase.

Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.

Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Range View Representation for LiDAR Segmentation.

Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LaserMix for Semi-Supervised LiDAR Semantic Segmentation.

Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP.

Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma

CoRR, 2022

2021

Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks.

Zhijun Zhang, Lunan Zheng, Zhuoming Chen, Lingdong Kong, Hamid Reza Karimi

IEEE Trans. Neural Networks Learn. Syst., 2021

Free Lunch for Co-Saliency Detection: Context Adjustment.

Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Yao Chen, Le Zhang

CoRR, 2021

2020

Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications.

Zhijun Zhang, Lingdong Kong, Lunan Zheng, Pengchao Zhang, Xilong Qu, Bolin Liao, Zhuliang Yu

IEEE Trans. Syst. Man Cybern. Syst., 2020

A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots.

Zhijun Zhang, Xianzhi Deng, Lingdong Kong, Shuai Li

IEEE Trans. Cogn. Dev. Syst., 2020

Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs.

Lingdong Kong

CoRR, 2020

Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots.

Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang

CoRR, 2020

2019

Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications.

Zhijun Zhang, Ling-Dong Kong, Lunan Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation.

Zhijun Zhang, Xianzhi Deng, Xilong Qu, Bolin Liao, Ling-Dong Kong, Lulan Li

IEEE Access, 2018

Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators.

Zhijun Zhang, Lingdong Kong, Ziyi Yan, Ke Chen, Shuai Li, Xilong Qu, Ning Tan

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language.

Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms.

Zhijun Zhang, Lingdong Kong, Yaru Niu

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2010

A fuzzy spatial Petri nets.

Lingdong Kong, Hong Zhang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Research of Coal and Gas Outburst Forecasting Based on Immune Genetic Neural Network.

Yu Zhu, Hong Zhang, Ling-Dong Kong

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

Research of Coal-Gas Outburst Forecasting Based on Artificial Immune Network Clustering Model.

Yu Zhu, Hong Zhang, Ling-Dong Kong

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

2007

Generalized Association Rule Mining Algorithms based on Data Cube.

Hong Zhang, Bo Zhang, Lingdong Kong, Zhengxing Cai

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007