Scholar
Shizun Wang
Google Scholar ID: vlgvrD0AAAAJ
National University of Singapore
Citations & Impact
Citations
301
H-index
8
i10-index
7
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publication: Test3R: Learning to Reconstruct 3D at Test Time (NeurIPS, 2025)
- - Publication: C4D: 4D Made from 3D through Dual Correspondences (ICCV, 2025)
- - Publication: PE3R: Perception-Efficient 3D Reconstruction (Arxiv Preprint, 2025)
- - Publication: GFlow: Recovering 4D World from Monocular Video (AAAI, 2025)
- - Publication: MindBridge: A Cross-Subject Brain Decoding Framework (CVPR, 2024)
- - Publication: PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models (Arxiv Preprint, 2023)
- - Publication: SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines (AAAI, 2023)
- - Publication: Adaptive Patch Exiting for Scalable Single Image Super-Resolution (ECCV, 2022)
- - Publication: Efficient Meta-Tuning for Content-aware Neural Video Delivery (ECCV, 2022)
- - Publication: SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC, 2021)
- - Publication: Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation (ICCV, 2021)
Research Experience
- - Intel Labs China: 3D Human Motion Capture, Image Restoration (Super-resolution, Denoising), Neural Video Delivery
- - SenseTime: Deep Image Compression, Image Coding for Machine
- - OPPO Research Institute: Dynamic neural network, Learn-based Visual Synthesis
- - ByteDance: Generative models, Avatars, AIGC
Education
- - National University of Singapore (Aug. 2023 - Now): Ph.D. in Electrical & Computer Engineering, Supervisor: Prof. Xinchao Wang
- - Beijing University of Posts and Telecommunications (Sep. 2020 - Jun. 2023): M.S. in Information & Communication Engineering, Supervisor: Prof. Chuang Zhang
- - Beijing University of Posts and Telecommunications (Sep. 2016 - Jun. 2020): B.E. in Internet of Things Engineering, Joint programme with Queen Mary University of London
Background
- - Research Interests: Computer Vision, particularly in learning-based visual content synthesis (reconstruction/generation/editing/animating)
- - Professional Fields: Image/Video/3D/4D
- - Input Modalities: Text/Brain Signals
Co-authors