
钱深瀚
Shenhan Qian
/ʃɛn hɑn tʃjɑn/
PhD student
Technical University of Munich
Bio
I am an 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
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DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair
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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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Multiple View Geometry (3D Computer Vision) (IN2228)
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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