Portrait
钱深瀚
Shenhan Qian

PhD student
Technical University of Munich

Bio

I am an MCML and ELLIS PhD student in the Computer Vision Group of the Technical University of Munich, advised by Prof. Daniel Cremers and Dr. Shangzhe Wu. I am interested in visual perception of the physical world, including its geometry, appearance, motion, and articulation. My goal is to build intelligent machines that can understand and interact with real-world environments.

I obtained my Master’s degree in Computer Science from ShanghaiTech University, advised by Prof. Shenghua Gao, and my Bachelor’s degree in Automation from Hunan University.

Publications

Projects

  • VHAP: Versatile Head Alignment with Adaptive Appearance Priors
    Sep, 2024
    Open Source Project
    code summary bibtex
    
      
    

  • DeepFashion2 Challenge (CVPR 2020 Workshop)
    Apr, 2020
    3rd Place in the Landmark Estimation Track
    record code summary
    
      
    

  • Lane Detection with An Instance Segmentation Approach
    May, 2019
    Bachelor's Thesis
    code summary
    
      
    

  • College Student Electronics Design Contest of Hunan Province
    Aug, 2018
    1st Prize
    summary
    
      
    

  • National College Student Electronics Design Contest
    Aug, 2017
    2nd Prize in Hunan Province
    summary
    
      
    

Services

  • Conference Reviewer
    • CVPR 2025/2024/2023
    • ICCV 2025/2023
    • ECCV 2024
    • NeurIPS 2025
    • SIGGRAPH Asia 2025/2024
    • EUROGRAPHICS 2025
    • WACV 2023

  • Journal Reviewer
    • TPAMI
    • IJCV
    • TVCG
    • Computer Graphics Forum
    • Neural Computing and Applications

Teaching

Awards

  • Outstanding Graduate of Shanghai
    Jun, 2022

  • Merit Student of ShanghaiTech University
    Jan, 2022

  • China National Scholarship
    Oct, 2021

  • First-class Scholarship of Hunan University
    2016, 2017, 2018