钱深瀚
Shenhan Qian
PhD student
Technical University of Munich
Bio
I am a PhD student in the Computer Vision Group of Prof. Daniel Cremers at the Technical University of Munich. Before that, I worked with Prof. Matthias Nießner in the Visual Computing Group for one year. 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 photometric optimization, articulated shape representation, dynamic scene reconstruction, and perception for robotics.
Publications
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MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing
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GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
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NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
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Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing
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UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
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Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces
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Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation
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Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
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KGDet: Keypoint-Guided Fashion Detection
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Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Projects
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Versatile Head Alignment with Adaptive Appearance Priors
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DeepFashion2 Challenge (CVPR 2020 Workshop)
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Lane Detection with An Instance Segmentation Approach
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College Student Electronics Design Contest of Hunan Province
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National College Student Electronics Design Contest
Services
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Conference Reviewer
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Journal Reviewer
Teaching
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Introduction to Deep Learning (IN2346)
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Master Seminar - Neural Radiance Fields (IN2107, IN4499)
Awards
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Outstanding Graduate of Shanghai
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Merit Student of ShanghaiTech University
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China National Scholarship
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First-class Scholarship of Hunan University