Runyu Ding Ph.D. student Department of Electrical and Electronic Engineering The University of Hong Kong Email: dingry977 [at] gmail [dot] com [Google Scholar]   [GitHub]

Biography

I am currently a Ph.D. student (2020-) at EEE, The University of Hong Kong, advised by Dr. Xiaojuan Qi. Before that I obtained my B.Eng. degree in the School of Software Engineering at Tsinghua University in 2020.

My research interests focus on 3D vision and embodied AI.

Publications

*: Equal Contribution

• RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
  Jihan Yang*, Runyu Ding*, Zhe Wang, Xiaojuan Qi
  arXiv preprint, 2023
  [Project Page]
• PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
  Runyu Ding*, Jihan Yang*, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi
  Computer Vision and Pattern Recognition Conference (CVPR), 2023 [Project Page] [Code]  

• Towards Efficient 3D Object Detection with Knowledge Distillation
  Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
  Advances in Neural Information Processing Systems (NeurIPS) 2022. [Code]  

• DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  Runyu Ding*, Jihan Yang*, Xiaojuan Qi
  European Conference on Computer Vision (ECCV), 2022. [Code]

• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  Mutian Xu*, Runyu Ding*, Hengshuang Zhao, Xiaojuan Qi
  Computer Vision and Pattern Recognition Conference (CVPR), 2021. [Code]

Experiences

• Student Intern, University of California San Diego.
  Aug. 2023 - Present
  
  Working with Prof. Xiaolong Wang

• Research Intern, ByteDance.
  March 2022 - May 2023
  
  Working with Dr. Song Bai.

• Research Intern, SenseTime Research.
  Oct. 2020 - Aug. 2021
  
  Working with Prof. Jifeng Dai.

• Research Intern, STCA Microsoft.

  July 2019 - Aug. 2019
  
  

Activities

Conference Reviewer: CVPR, ICCV, ECCV

Journal Reviewer: IJCV, PR

• Language-Driven Open-Vocabulary 3D Scene Understanding. C3DV Workshop in CVPR 2023.
  

• Language-Driven Open-Vocabulary 3D Scene Understanding. VALSE 2023.
  

• DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation. Zhidongxi.
  

• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds. Jiangmen.
  

Education

• The University of Hong Kong
  Sept. 2020 - Present
  
  Ph.D. Student at CVMI-Lab
  

• Tsinghua University
  Sept. 2015 - June 2020
  
  Bachelor Degree in Software Engineering
  GPA 3.91/4.0. Ranking 3/84.

Honors & Awards