Yilun Chen

I am currently a fourth-year PhD student at Computer Science & Engineering Department, The Chinese University of Hong Kong, under the supervision of Prof. Jiaya Jia.

I have a great time to do research with Dr. Shu Liu and Dr. Xiaoyong Shen as a research intern at SMartMore Inc. as well as Youtu X-Lab at Tencent. Before that, I was lucky to work with Dr. Gang Yu and Dr. Jian Sun during my internship in Megvii (Face++) Research.

My research interests lie primarily in computer vision and deep learning, particularly focusing on 3D object detection and scene understanding.

Email / LinkedIn / Google Scholar / Github



Timeline

  • [Aug 2022] DSGN++ is accepted by T-PAMI and code is available.
  • [March 2022] Two papers got accepted by CVPR2022.
  • [April 2020] Code for DSGN is released!
  • [March 2020] DSGN is accepted by CVPR 2020.
  • [June 2019] Fast Point R-CNN is accepted by ICCV 2019.
  • [March 2018] Joined Youtu-Lab at Tencent as a research intern.
  • [February 2018] One paper is accepted by CVPR 2018
  • [Oct 2017] Won 1st Place in COCO 2017 Keypoint Challenge
  • [Nov 2016] Joined Megvii Face++ as a research intern.


Tech Reports
UVTR

Unifying Voxel-based Representation with Transformer for 3D Object Detection
Yanwei Li, Yilun Chen, , Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia
Arxiv Preprint
[PDF] [Code]

Publications
DSGN++

DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 (accepted)
Ranked 1st place among all camera-based approaches on KITTI 3D detection leaderboard (All categories, Nov. 2021).
[PDF] [Code]

dsgn

Multi-View Transformer for 3D Visual Grounding
Shijia Huang, Yilun Chen, Jiaya Jia, Liwei Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF] [Code]

dsgn

Efficient Neural Radiance Fields
Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF] [Code]

dsgn

DSGN: Deep Stereo Geometry Network for 3D Object Detection
Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Ranked 1st place among all camera-based approaches on KITTI 3D detection leaderboard (All categories, Nov. 2019).
[PDF] [Project Page] [Code]

fprcnn

Fast Point R-CNN
Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF] [project page] [bibtex]

cpn

Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen*, Zhicheng Wang*, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Champion of COCO 2017 Keypoint Challenge.
[PDF] [project page] [Code] [bibtex]

rfcn++

R-FCN++: Towards Accurate Region-based Fully Convolutional Networks for Object Detection
Zeming Li, Yilun Chen, Gang Yu, Yangdong Deng
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
[PDF] [bibtex]

Experience
smartmore Mar. 2020 - June. 2022, SmartMore Inc.
Intern Mentor: Shu Liu
tencent Mar. 2018 - Jan. 2020, Tecent Youtu, X-Lab
Intern Mentor: Shu Liu
face Nov. 2016 - Nov. 2017, Megvii Face++
Intern Mentor: Gang Yu


Education
cuhk

Aug. 2018 - Present , The Chinese University of Hong Kong ,

Ph.D. Student, Computer Science & Engineering

cuhk

Aug. 2013 - July. 2017 , BeiHang University ,

Bachelor Degree, Computer Science & Engineering

Service
  • Conference Reviewer: CVPR2020-2022, ECCV 2020, ICCV 2019,2021, ICLR 2022, NeurIPS 2022, ICRA 2021, IROS 2022

  • Jounral Reviewer: T-PAMI

  • Teaching: CSCI3310, CSCI3180, CSCI1120, ENGG1100