Lingdong Kong

I am a first-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.

News

• 2023.03 - LaserMix was selected as a highlight at CVPR 2023 (top 10% of accepted papers).
• 2023.02 - Two papers (LaserMix and CLIP2Scene) were accepted to CVPR 2023.
• 2023.01 - One paper (ConDA) was accepted to ICRA 2023.
• 2022.11 - We are organizing the RoboDepth Competition at ICRA 2023.
• 2022.06 - We are organizing the 4th SenseHuman Workshop at ECCV 2022.
• 2022.06 - We are organizing the PointCloud-C Challenge at ECCV 2022.

Preprint

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

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

• 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
          

• Unsupervised Video Domain Adaptation: A Disentanglement Perspective

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

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

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

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

  Jiawei Ren*, Lingdong Kong*, Liang Pan, Ziwei Liu
             

• Free Lunch for Co-Saliency Detection: Context Adjustment

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

Recent Publication

• LaserMix for Semi-Supervised LiDAR Semantic Segmentation

  Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  

        Highlight (top 2.5% = 235/9155)

       

• 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

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

    

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

  Lingdong Kong, Niamul Quader, Venice Erin Liong

  IEEE International Conference on Robotics and Automation (ICRA), 2023

          

• Benchmarking Bird's Eye View Detection Robustness to Real-World Corruptions

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

  ICLR Workshop on Scene Representations for Autonomous Driving, 2023

    

• Benchmarking 3D Perception Robustness to Common Corruptions and Sensor Failure

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

  ICLR Workshop on Scene Representations for Autonomous Driving, 2023

    

• Semi-Supervised LiDAR Semantic Segmentation with Spatial Consistency Training

  Lingdong Kong*, Jiawei Ren*, Liang Pan, Ziwei Liu

  ICLR Workshop on Scene Representations for Autonomous Driving, 2023

    

Education

• 2022.08 - Present

  Ph.D., Computer Science, School of Computing, Department of Computer Science

  National University of Singapore

• 2020.07 - 2022.06

  M.Eng., Computer Science, School of Computer Science & Engineering

  Nanyang Technological University, Singapore

• 2019.07 - 2020.06

  M.Sc., Computer Control & Automation, School of Electrical & Electronic Engineering

  Nanyang Technological University, Singapore

• 2015.09 - 2019.06

  B.Eng., Intelligent Science & Technology, School of Automation Science & Engineering

  South China University of Technology

Awards & Honours

• DesCartes PhD Fellowship, awarded by CNRS@CREATE, Apr. 2022
• NUS Research Scholarship, awarded by the Ministry of Education of Singapore, Apr. 2022
• National Scholarship, awarded by the Ministry of Education of China, Nov. 2018

Misc

• Conference Reviewer: NeurIPS'22, ICLR'23, IROS'23, ICML'23, ICCV'23
• Journal Reviewer: IEEE TNNLS, IEEE TSMC, IEEE TCYB, IET Computer Vision