Yilun Chen

I am currently a researcher at Shanghai AI Labotory. Prior to that, I did my Ph.D. at CSE department of The Chinese University of Hong Kong, under the supervision of Prof. Jiaya Jia.

My research interests primarily focus on computer vision and deep learning, specifically in the area of 3D object detection and scene understanding.

We are actively seeking motivated research fellows and interns with experience or interest in Robotics and 3D Perception at Shanghai AI Laboratory. If you are interested in LLM + Robotics, 3D perception, or other related topics, please contact me via email.

Email / LinkedIn / Google Scholar / Github

FocalFormer3D: Focusing on Hard Instance for 3D Object Detection
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jose M. Alvarez
IEEE International Conference on Computer Vision (ICCV) , 2023
Ranked 1st place in nuScenes LiDAR 3D detection leaderboard. (Mar. 2023)
Ranked 1st place in nuScenes LiDAR 3D tracking leaderboard. (Mar. 2023)
[PDF] [Code]

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 (T-PAMI), 2022 (accepted)
Ranked 1st place among all camera-based approaches on KITTI 3D detection leaderboard (All categories, Nov. 2021).
Its multi-modal variant [VoCo] ranked 1st place among all approaches on KITTI 3D detection leaderboard (Car, May. 2022).
[PDF] [Code]

Unifying Voxel-based Representation with Transformer for 3D Object Detection
Yanwei Li, Yilun Chen, , Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia
Conference on Neural Information Processing Systems (NeurIPS), 2022
[PDF] [Code]

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]

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: 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]

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

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 MS-COCO 2017 Keypoint Detection Challenge
Ranked 1st place on COCO Keypoint detection leaderboard (Oct. 2017).
[PDF] [project page] [Code] [bibtex]

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]

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

Ph.D. Student, Computer Science & Engineering

Aug. 2013 - July. 2017 , BeiHang University ,

Bachelor Degree, Computer Science & Engineering