Shenhan Qian

PhD student
Technical University of Munich


I am a PhD student in the Visual Computing & Artificial Intelligence Group at the Technical University of Munich, working with Prof. Matthias Nießner. I received my Master’s Degree in Computer Science at ShanghaiTech University in 2022, advised by Prof. Shenghua Gao. Before that, I obtained my Bachelor’s Degree in Automation at Hunan University in 2019.

My research interest lies in 3D reconstruction, neural rendering, and implicit neural representations.


  • Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces
    Yihao Zhi*, Shenhan Qian*, Xinhao Yan*, Shenghua Gao
    International Conference on 3D Vision (3DV), 2022
    project / arxiv / video / code
    Modeling the human body and scene lighting in a pose-generalizable manner.
  • UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
    Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao
    European Conference on Computer Vision (ECCV), 2022
    project / arxiv / video / code / poster
    Part-based human body reconstruction without part labels.
  • Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation
    Jing Li, Kang Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao
    Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
  • Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
    Shenhan Qian*, Zhi Tu*, Yihao Zhi*, Wen Liu, Shenghua Gao
    International Conference on Computer Vision (ICCV), 2021
    project / arxiv / paper / video / code / poster
    Generating upper-body gestures from voice with decoupled gesture styles and voice-compatible movements.
  • KGDet: Keypoint-Guided Fashion Detection
    Shenhan Qian*, Dongze Lian*, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    paper / code
    Improving clothing detection with positional and categoric clues of clothing landmarks.
  • Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
    Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    arxiv / paper / code
    Predicting the most influential frame for additional annotation to boost interactive video object segmentation.


  • DeepFashion2 Challenge – Landmark Estimation Track (CVPR 2020 Workshop)
    3rd Place
    Apr, 2020
    record / code
    Combined a multi-stage detector (HTC) and a landmark estimator (HRNet) to detect fashion landmarks.
  • Lane Detection with An Instance Segmentation Approach
    Graduation Project
    May, 2019
    A PyTorch implementation of LaneNet with instance segmentation and curve fitting.
  • College Student Electronics Design Contest of Hunan Province
    1st Prize
    Aug, 2018
    Built a twin-rotor UAV that can take off, land, and hover steadily with 3d-printed parts, microcontrollers, and sensors. Achieved the highest precision of hovering height among all teams.
  • National College Student Electronics Design Contest
    2nd Prize in Hunan Province
    Aug, 2017
    Built a tilting board system to control the movement of a ball on the board with microcontrollers, servos, and a camera. Accomplished smooth and flexible trajectory control.


  • Conference Reviewer
    WACV 2023, CVPR 2023


  • Outstanding Graduate of Shanghai
    Jun, 2022
  • Merit Student of ShanghaiTech University
    Jan, 2022
  • China National Scholarship
    Oct, 2021
  • First-Class Scholarship of Hunan University
    Sep, 2015 - Jun, 2018