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.

I work in the fields of deep learning and computer vision, with particular focuses on 3D perception, domain adaptation, and visual representation learning.

My research pursues to build robust and scalable perception models that can be generalized across different domains and scenarios, with minimum or no human annotations needed.

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


Recent Publications [Complete List]

* indicates equal contributions

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   |   Video   |   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   |   Video   |   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   |   Video   |   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

Benchmarking Out-of-Distribution Depth Estimation under Corruptions

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


The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

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

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu*, Lingdong Kong*, Jun Cen, Runnan Chen, Wenwei Zhang, et al.
arXiv, 2023
PDF   |   Code   |   Home   |   Demo

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

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
arXiv, 2023
PDF   |   Code

Segment Any RGB-D

Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen
arXiv, 2023
PDF   |   Code

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

Fangzhou Hong, Lingdong Kong, Hui Zhou, Xingge Zhu, Hongsheng Li, Ziwei Liu
arXiv, 2022
PDF   |   Code

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, et al.
arXiv, 2022
PDF   |   Code   |   Home   |   Demo

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, Junhao Liu, Le Zhang, Yao Chen
arXiv, 2021
PDF   |   Home

Workshop Organizers

Industrial Experience


ByteDance AI Lab

Research Scientist Intern
Advisor: Dr. Pengfei Wei


Autonomous Vehicle Intern
Advisor: Dr. Venice Erin Liong

Talks & Presentations

Academic Services

Conference Reviewer

  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • 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

  • CS4243 - Computer Vision and Pattern Recognition, AY23/24 Sem 1