Qu Chen(陈曲)'s Homepage

Qu Chen 陈曲

I am currently working at MEGVII Inc. as a world model researcher. Previously working at Baidu Inc. as a 3D computer vision researcher from 2020 to 2023, working closely with Xiaoqing Ye and Xiao Tan. I received my master degree from The University of Sheffield in January 2017, advised by Prof. Eleni Vasilaki, and bachelor degree from Xi'an Jiaotong University in July 2015, advised by Prof. Feng Lian.

My research interests are in multi-model foundation model and 3D computer vision, with specific interest in world model, 3D reconstruction/generation, etc. Looking for self-motivated interns. Please drop your CV to me if you are interested in those topics.

News

2025.02: Joined MEGVII Inc. at Shanghai as a computer vision researcher. Focus on world model.
2023.12: The StreamOcc-OneModel was first proposed and deployed in mass-production Li Auto vehicles.
2023.05: Joined Li Auto. at Shanghai as a computer vision researcher.
2021.10: Won the Third place in LTVL challenge track 1(Outdoor visual localization) of CVPR 2021.
2021.09: One paper accepted by ICMR2021.
2021.06: Won the Runner-up in WAD Challenge track 2(Argoverse) of CVPR 2021.
2021.03: Won the Champion and Reward $3,500 in ROD Challenge(both phase 1 and phase 2) of ICMR 2021.
2020.10: Joined Baidu Inc. at Shanghai as a computer vision researcher. Focus on 3D Vision.
2018.04: One paper accepted by International Journal of Hydrogen Energy.
2016.03: Joined Sheffield Machine Learning research group. Started doing research. Focus on RL.

Preprints (* equal contribution, † Project leader/Corresponding author)

Publications (* equal contribution, † Project leader/Corresponding author)

	DANet: Dimension Apart Network for Radar Object Detection Bo Ju, Wei Yang, Jinrang Jia, Xiaoqing Ye, Qu Chen, Xiao Tan, Hao Sun, Yifeng Shi, Errui Ding The 2021 International Conference on Multimedia Retrieval*, ICMR 2021 [PDF] [Code] [BibTeX]
	Intelligent energy management strategy based on hierarchical approximate global optimization for plug-in fuel cell hybrid electric vehicles Jingni Yuan, Lin Yang†, Qu Chen International Journal of Hydrogen Energy, Int J Hydrogen Energ 2018 [PDF] [BibTeX]

Challenge

	Long-Term Visual Localization under Changing Conditions 2021 Topic---Long-Term Visual Localization The IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021 Rank overall 3rd in the challenge(Team 4Fun), Rank 2,3,3,3 on 4 different dataset
	Argoverse Stereo Competition WAD 2021 Topic---Stereo Matching The IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021 Rank 2nd in the challenge
	ROD2021 Radar Detection Challenge Topic---Radar Detection The 2021 International Conference on Multimedia Retrieval, ICMR 2021 Rank 1st in the challenge

Current/Past Intern

• Tianchen Deng, PhD student at SJTU advised by Prof. HeSheng Wang
• Yi Chen, Master student at SJTU
• Xuefeng Chen, Master student at Tsinghua