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Tianjia ShaoCollege of Computer Science and Technology address: Room 505 Mengminwei Building, Zijingang Campus, Zhejiang University, Hangzhou, 310058, China email: tjshao(AT)zju.edu.cn phone: (+86)0571-88206681-535 |
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News & Events
• I am looking for strongly-motivated PhD and Master students to join my research team. If you are interested in computer graphics and computer vision, please contact me.
• [September 2020] I will serve as an associate editor for The Visual Computer.
• [May 2020] I served on the Program Committee of Pacific Graphics 2020.
• [April 2020] I served on the Program Committee of 3DV 2020.
• [August 2019] I left University of Leeds and joined Zhejiang University.
• [May 2018] I served as the Organizing Committee Co-Chair of Computational Visual Media 2019 at Bath, UK.
Research
My research focuses on the acquisition, creation and processing of 3D contents in Computer Graphics and Computer Vision. I have conducted research on 3D scene/object modeling, digital avatar creation, structure/function aware geometry processing, computer animation and 3D printing.
Biography
Tianjia Shao is a ZJU100 Young Professor in the State Key Laboratory of CAD&CG, Zhejiang University. Previsouly He was an Assistant Professor (Lecturer in UK) in the School of Computing, University of Leeds, UK. He received his PhD in Computer Science from Institute for Advanced Study, Tsinghua University, under the guidance of Prof. Baining Guo, and his B.S. from the Department of Automation, Tsinghua University. During his PhD, he spent one year as a visiting researcher working with Prof. Niloy Mitra in University College London and four years as a research intern in Internet Graphics Group, Microsoft Research Asia. After that, he was an Assistant Researcher in the State Key Laboratory of CAD&CG, Zhejiang University.
Publications - Computer Graphics
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EyelashNet: A Dataset and A Baseline Method for Eyelash Matting |
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High-order Differentiable Autoencoder for Nonlinear Model Reduction |
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Learning an Intrinsic Garment Space
for Interactive Authoring of Garment Animation |
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Accelerated Complex Step Finite Difference for Expedient Deformable Simulation |
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NNWarp: Neural Network-based Nonlinear Deformation |
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AutoSweep: Recovering 3D Editable Objects from a Single Photograph |
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Automatic Mechanism Modeling from a Single Image with CNNs |
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Warp-Guided GANs for Single-Photo Facial Animation |
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H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis |
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Efficient Voxelization Using Projected Optimal Scanline |
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Recovering Functional Mechanical Assemblies from Raw Scans |
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Dynamic Furniture Modeling Through Assembly Instructions |
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AutoHair: Fully Automatic Hair Modeling from A Single Image |
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Real-time Facial Animation with Image-based Dynamic Avatars |
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An Interactive Approach for Functional Prototype Recovery from a Single RGBD Image |
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Shape Completion from a Single RGBD Image |
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Imagining the Unseen: Stability-based Cuboid Arrangements for Scene Understanding |
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Interpreting Concept Sketches |
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An Interactive Approach to Semantic Modeling of Indoor Scenes with an RGBD Camera |
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Discriminative Sketch-based 3D Model Retrieval via Robust Shape Matching |
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Sampling-based Contact-rich Motion Control |
Publications - Computer Vision and Machine Learning
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Unsupervised Image Generation with Infinite Generative Adversarial Networks |
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BASAR:Black-box Attack on Skeletal Action Recognition |
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Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack |
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Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation |
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One-shot Face Reenactment Using Appearance Adaptive Normalization |
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In-game Residential Home Planning via Visual Context-aware Global Relation Learning |
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Mesh Guided One-shot Face Reenactment Using Graph Convolutional Networks |
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Dynamic Future Net: Diversified Human Motion Generation |
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Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks |