Meijun Wang

Meijun Wang

PhD student, USTB

Welcome to my Homepage! My name is Wang Meijun (王美军).

I am currently a Ph.D. student at the University of Science and Technology Beijing (USTB), under the supervision of Professor Yu Meng. My research interests focus on Human Pose Estimation and Generation in the field of deep learning, particularly in Vehicle Active and Passive Protection Technology for Pedestrian Safety in autonomous driving applications. Sharing, contributing, open-sourcing, and helping others are some of my greatest joys! Feel free to reach out to me anytime if you have any questions — Contact me here 💬.

🔥 News

  • 2025.05:  🎉🎉 Look forward to my continuous new research work!

📖 Educations

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

📝 Publications

NeurIPS 2024
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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

[Paper] · [Code]GitHub Stars · [Annotation_Tools]GitHub Stars · [Video] · [More]

  • We constructed a pedestrian pre-collision pose dataset, PVCP, by collecting dashcam videos of pedestrian-vehicle collisions. (With a SMPL-annotation-tools)
  • We propose a two-stage pedestrian pre-collision pose and shape estimation network, PPSENet.
TITS 2024
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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

[Paper] · [Code] GitHub Stars

  • We build a pedestrian-vehicle collision video dataset, annotated by camera viewpoints for case analysis and posture research.
  • We propose a real-time vision-based pipeline to reconstruct pre-impact multi-body postures from real accident images.

👨‍💼 Work Experience

🎖 Honors and Awards

  • 2022, National Graduate Scholarship (Master’s)
  • 2022, Contribution Award, China Intelligent and Connected Vehicles Algorithm Competition (CIAC), Perception Track
  • 2021, Awarded the Gold Prize, the 5th “Three Minute Thesis” Academic Speech Competition, USTB
  • 2020, First Prize, International Contest of innovAtioN (iCAN), Calmspoon Stabilizing Tableware
  • 2020, Gold Award, “Challenge Cup” Capital College Student Entrepreneurship Competition, Calmspoon Stabilizing Tableware (“挑战杯”省赛金奖)

🧾 Patents

  • 2022, A Vision-Based Method for Multi-Rigid-Body Pedestrian Pose Reconstruction (一种基于视觉的多刚体行人模型姿态重建方法), Granted, 202111459545.5
  • 2020, Electronic Anti-Shake Tableware (一种电子防抖餐具), Granted, CN201910912611.6
  • 2019, A Human-Weight-Driven Trash Bin for Compression and Solid-Liquid Separation (一种以人体重力驱动的压缩及固液分离垃圾箱), Granted, CN201910679971.6

💬 Academic Service

  • Journal and Conference Reviewer: NeurIPS·2025, TCSVT, TITS, EAAI

🔗 Links

I am fortunate to collaborate closely with the following research partners:

  • Zhongwei Qiu. My senior colleague and research mentor, working on human-centric visual perception, multimodal learning, and generative models with applications in healthcare and science.

  • Guangxuan Song. My partner working on knowledge graphs and large language models, particularly in their application to scientific data analysis in materials science.

  • Xin Qin. My partner working on industrial process fault diagnosis and optimization.

In addition, I occasionally share text and video content on social media platforms.

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