Depu Meng is a Post-Doctoral Reseach Fellow at the University of Michigan, working with Dr. Henry X. Liu. He received the Ph. D. degree in the Department of Automation, University of Science and Technology of China. His Ph. D. advisors are Dr. Baining Guo and Prof. Houqiang Li, he was also advised by Dr. Jingdong Wang previously. He interned at Microsoft Research Asia during 2017-2018, and 2019-2021. He also interned at Meituan during 2021-2022. He was a visiting scholar at the University of Michigan during 2022-2023. Here is my CV.

His research interests include traffic safety research, 2D/3D object detection, motion prediction, etc. He has great passion in transportation research and computer vision.

Education

• Sept. 2018 - Jun. 2023
  Ph.D.
  School of Information Science and Technology, major in Control Science and Engineering
  University of Science and Technology of China
  Supervisor: Dr. Baining Guo and Prof. Houqiang Li
• Sept. 2014 - Jun. 2018
  B.E.
  School of the Gifted Young (SCGY), major in Electrical Engineering
  University of Science and Technology of China

Work Experience

• Jun. 2023 - present
  Post-Doctoral Research Fellow
  Michigan Traffic Lab, University of Michigan
  Mentor: Prof. Henry Liu
• Apr. 2022 - Jun. 2023
  Visiting Scholar
  Michigan Traffic Lab, University of Michigan
  Mentor: Prof. Henry Liu
• Aug. 2021 - Apr. 2022
  Research Intern
  Autonomous Delivery Group, Meituan
  Mentor: Dr. Changqiang Yu
• Jul. 2019 - Jul. 2021
  Research Intern
  Visual Computing Group, Microsoft Research Asia
  Mentor: Dr. Jingdong Wang
• Jul. 2017 - Jul. 2018
  Research Intern
  Visual Computing Group, Microsoft Research Asia
  Mentor: Dr. Jingdong Wang

Publications

	Rusheng Zhang*, Depu Meng*, Shengyin Shen, Zhengxia Zou, Houqiang Li, Henry X. Liu MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles In Submissions [Paper]
	Rusheng Zhang, Depu Meng, Tinghan Wang, Tai Karir, Shengyin Shen, Michael Maile, Michael Shulman, Henry X. Liu Systematic Assessment of Roadside Perception Systems for Automated Vehicles: Insights from Field Testing Transportation Research Board Annual Meeting (TRBAM), 2024 [Paper]
	Rusheng Zhang, Depu Meng, Lance Bassett, Shengyin Shen, Zhengxia Zou, Henry X. Liu Robust Roadside Perception for Autonomous Driving: an Annotation-free Strategy with Synthesized Data IEEE Transactions on Intelligent Vehicles (T-IV), 2024 [Paper]
	Depu Meng, Owen Sayer, Rusheng Zhang, Shengyin Shen, Houqiang Li, Henry X. Liu ROCO: A Roundabout Traffic Conflict Dataset Transportation Research Board Annual Meeting (TRBAM), 2023 [Paper] [Data]
	Depu Meng, Changqian Yu, Jiajun Deng, Deheng Qian, Houqiang Li, Dongchun Ren Hybrid Motion Representation Learning for Prediction from Raw Sensor Data IEEE Transactions on Multimedia (T-MM), 2023 [Paper]
	Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao CORE: COnsistent REpresentation Learning for Face Forgery Detection CVPR Workshop on Media Forensics (CVPR Workshop), 2022 [Paper] [Code]
	Depu Meng*, Xiaokang Chen*, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun and Jingdong Wang (*: Equal Contribution) Conditional DETR for Fast Training Convergence International Conference on Computer Vision (ICCV), 2021 [Paper] [Code] [HuggingFace]
	Depu Meng, Zigang Geng, Zhirong Wu, Bin Xiao, Houqiang Li and Jingdong Wang Consistent Instance Classification for Unsupervised Representation Learning ICCV Workshop: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving (ICCV Workshop), 2021 [Paper]
	Ke Sun, Zigang Geng, Depu Meng, Bin Xiao, Dong Liu, Zhaoxiang Zhang, Jingdong Wang Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates Arxiv, 2020 [Paper]
	Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang Deep Convolutional Neural Networks with Merge-and-Run Mappings International Joint Conference on Artificial Intelligence (IJCAI), 2018 [Paper] [Code]

Services

• Conference Reviewer: CVPR 2022, CVPR 2023, ECCV 2022, CICAI 2022, ICCV 2023, TRBAM 2023, TRBAM 2024
• Journal Reviewer: IEEE T-IV, IEEE T-MM, IEEE T-CSVT, Neuralcomputing