Published numerous papers in top-tier conferences and journals, including CVPR, ICCV, TIP, etc. Specific publications include: PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding, SRFormer: Permuted Self-Attention for Single Image Super-Resolution, AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation, DNF: Decouple and Feedback Network for Seeing in the Dark, Designing An Illumination-Aware Network for Deep Image Relighting, Towards An End-to-End Framework for Flow-Guided Video Inpainting, Wavelet-Based Texture Reformation Network for Image Super-Resolution, Delving Deep into Label Smoothing, Temporal Modulation Network for Controllable Space-Time Video Super-Resolution, Interactive Knowledge Distillation, Gated Multiple Feedback Network for Image Super-Resolution, Feedback Network for Image Super-Resolution.
Research Experience
Involved in multiple research projects, covering areas such as image super-resolution, frame interpolation, and image inpainting.
Education
Ph.D. candidate at Nankai University, supervised by Prof. Ming-Ming Cheng.
Background
Currently a final year Ph.D. candidate at Nankai University, with research interests in computer vision and deep learning, particularly focusing on image/video restoration and enhancement, generation and editing, etc.
Miscellany
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