Lingdong Kong

  PhD Student, NUS



I am a second-year Ph.D. student in the Department of Computer Science at the National University of Singapore, under Prof. Wei Tsang Ooi. I am also closely with Dr. Benoit Cottereau from CNRS, Dr. Lai Xing Ng from A*STAR, and Prof. Ziwei Liu from S-Lab, Nanyang Technological University, Singapore.

My research pursues to build robust and scalable 3D perception and generation models capable of being generalized across domains and scenarios, with minimum or no human annotations involved.

I am fortunate to have research attachments and internships at OpenMMLab, ByteDance AI Lab, MMLab@NTU, Motional, and Advanced Digital Sciences Center.

I was the recipient of the National Scholarship (Ministry of Education, 2019) and Research Achievement Award (NUS Computing, 2023).


Recent Publications [Complete List]

* indicates equal contributions

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

Fangzhou Hong, Lingdong Kong, Hui Zhou, Xingge Zhu, Hongsheng Li,
Ziwei Liu
PDF   |   Code

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

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi
PDF   |   Code   |   Home   |   Data   |   Poster

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, et al.
PDF   |   Code   |   Home   |   Demo   |   Poster

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu*, Lingdong Kong*, Jun Cen, Runnan Chen, Wenwei Zhang, et al.
Spotlight (3.0% = 378/12343)
PDF   |   Code   |   Home   |   Demo   |   Poster

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
PDF   |   Code   |   Poster

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
PDF   |   Code   |   Home   |   Data   |   Poster

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
PDF   |   Home   |   Poster

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

Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, et al.
PDF   |   Code   |   Poster

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu
Highlight (2.5% = 235/9155)
PDF   |   Code   |   Home   |   Video   |   Poster

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
PDF   |   Code   |   Video   |   Poster

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

Lingdong Kong, Niamul Quader, Venice Erin Liong
PDF   |   Code   |   Home   |   Data   |   Poster

Benchmarking 3D Robustness to Common Corruption and Sensor Failure

Lingdong Kong*, Youquan Liu*, Xin Li*, Runnan Chen, Wenwei Zhang, et al.
Best Workshop Paper Award
PDF   |   Code   |   Home   |   Data

Tech Reports

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, et al.
Technical Report, 2023
PDF   |   Code   |   Home


Benchmarking and Analyzing Bird's Eye View Perception Robustness to Corruptions

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, et al.
arXiv, 2023
PDF   |   Code   |   Home   |   Data

FRNet: Frustum-Range Networks for Scalable LiDAR Semantic

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu
arXiv, 2023
PDF   |   Code   |   Home

SAM-Guided Unsupervised Domain Adaptation for 3D Segmentation

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, Xinge Zhu, Yuexin Ma
arXiv, 2023
PDF   |   Code

PointCloud-C: Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions

Jiawei Ren*, Lingdong Kong*, Liang Pan, Ziwei Liu
arXiv, 2022
PDF   |   Code   |   Home   |   Data

Free Lunch for Co-Saliency Detection: Context Adjustment

Lingdong Kong, Prakhar Ganesh, Wang Tan, Junhao Liu, Le Zhang, Yao Chen
arXiv, 2021
PDF   |   Home

Workshop Organizers

Industrial Experience



Research Intern
Advisor: Dr. Wenwei Zhang, Dr. Kai Chen

ByteDance AI Lab

Research Scientist Intern
Advisor: Dr. Pengfei Wei


Autonomous Vehicle Intern
Advisor: Dr. Venice Erin Liong

Academic Services

Conference Reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • IEEE International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Journal Reviewer

  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Intelligent Vehicles (TIV)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Robotics and Automation Letters (RA-L)
  • ISPRS Journal of Photogrammetry and Remote Sensing (P&RS)

Teaching Assistant

  • CS3263 - Foundations of Artificial Intelligence, AY23/24, Sem 2
  • CS4243 - Computer Vision and Pattern Recognition, AY23/24, Sem 1