👋 Welcome to my homepage! Feel free to reach out if you have any questions. Sharing, contributing, open-sourcing, and helping others are some of my greatest joys!

Education

• Ph.D in Beijing University of Science and Technology, 2023.09-Present
• M.S. in Beijing University of Science and Technology, 2020.09-2023.06
• B.S. in Beijing University of Science and Technology, 2016.09-2020.06

Research Interests

• Autonomous Driving, Computer Vision
• Human Pose Estimation and Generation
• Vehicle Active and Passive Protection Technology for Pedestrian Safety

Work experience

• 2023.09-present: Beijing University of Science and Technology
  • Ph.D Student
  • Smart Vehicle Lab
  • Environment Perception for Intelligent Vehicles
• 2016.09-2023.06: Beijing University of Science and Technology
  • Student
  • School of Mechanical Engineering
  • Department of Vehicle Engineering
• 2023.03-2023.09: Lenovo Research
  • Intern Researcher
  • 3D Hand Pose Estimation

Publications

• You can find my articles on my Google Scholar profile
• You can find my projects on my Github profile

• First-Author Publications

  	Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective MeiJun Wang, Yu Meng*, Zhongwei Qiu, Chao Zheng, Yan Xu, Pengxiaorui, Jian Gao (NeurIPS 2024) The Thirty-eighth Annual Conference on Neural Information Processing Systems PDF Code1 Code2 Video More
  	Real-Time Reconstruction of Multi-Body Pedestrian Pre-Impact Posture in Collision Accidents From Monocular Images MeiJun Wang, Yu Meng*, Yan Xu, Quan Li, Bingbing Nie (TITS 2024) IEEE Transactions on Intelligent Transportation Systems PDF Code

• Co-authored Publications

  Few-shot Point Cloud Semantic Segmentation via Support-Query Feature Interaction
  C Zheng, L Liu, Y Meng, X Peng, M Wang
  (TCSVT 2024) IEEE Transactions on Circuits and Systems for Video Technology
  

  Passable area segmentation for open-pit mine road from vehicle perspective
  C Zheng, L Liu, Y Meng, M Wang, X Jiang
  (EAAI 2024) Engineering Applications of Artificial Intelligence

  Integrating Convolutional Guidance and Transformer Fusion with Markov Random Fields Smoothing for Monocular Depth Estimation
  Xiaorui, Peng; Meng, Yu; Boqiang, Shi; Chao, Zheng; Meijun, Wang
  (EAAI 2025) Engineering Applications of Artificial Intelligence

Skills

• Welcome to my read sharing: 陌尘小小-Zhihu
• Welcome to my video sharing: 陌尘小小-BiliBili

QR Code

Page Views: times

Unique Visitors: people

Feel free to leave your thoughts! You can submit your comment Here 💬.