Yufei Wang (王雨飞)

I'm currently a Ph.D. candidate at Nanyang Technological University in Singapre from 2020 fall, supervised by Prof. Bihan Wen, and Prof. Alex Kot. Before that, I got my bachelor degree of computer science in 2020 from University of Electronic Science and Technology of China (UESTC).

The central goal of my current research is to more effectively restore the visual world using either deep image priors (e.g., diffusion models, normalizing flows, GANs) or the degradation priors (e.g., noise formulations in the raw space)

Email  /  Google Scholar  /  Github

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愿走出半生, 归来仍少年

News

  • [Feb 27, 2024] Two papers are accepted by CVRP2024!
  • [Feb 21, 2024] Ph.D. Thesis submitted! 🎉

Honors and Awards

  • The National Scholarship (Top 2%)
  • Tang Lixin Scholarship (Top 0.2%)
  • SDSC Dissertation Research Fellowship 2022 (10 recipients in Singpaore)

Publications

Topics: Computational Photography & Generative models / Compression / Robustness & Security

(* represents the equal contribution.)

Computational Photography & Generative models

SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Paper / Code

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Paper coming soon

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen
Arxiv, 2024
Paper

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
International Conference on Computer Vision (ICCV), 2023
Paper / Code

Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen
International Conference on Computer Vision (ICCV), 2023
Paper

Removing Image Artifacts From Scratched Lens Protectorsl
Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-pui Chau, Alex C Kot
IEEE International Symposium on Circuits and System (ISCAS), 2023
Paper / Dataset

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Paper

Enhancing Low-Light Images using Infrared Encoded Images
Shulin Tian*, Yufei Wang*, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen
International Conference on Image Processing (ICIP), 2023
Paper / Code

Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-pui Chau, and Alex C. Kot
AAAI Conference on Artificial Intelligence (AAAI), 2022 (Oral Presentation 5.5%)
Paper / Project page / Code

Compression

Beyond Learned Metadata-based Raw Image Reconstruction
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
Arxiv, 2023
Paper / Code

Raw Image Reconstruction with Learned Compact Metadata
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Paper / Code

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex Kot
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Paper

Robustness & Security

Disentangled Feature Representation for Few-shot Image Classification
Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen
Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Paper

Temporal Coherent Test Time Optimization for Robust Video Classification
Chenyu Yi, Siyuan Yang, Yufei Wang, Haoliang Li, Yap-peng Tan, Alex Kot
International Conference on Learning Representations (ICLR), 2023
Paper

Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian, Haoliang Li, Yufei Wang, Shiqi Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Paper

Variational Disentanglement for Domain Generalization
Yufei Wang, Haoliang Li, Bihan Wen, Lap-pui Chau, and Alex C. Kot
Transactions on Machine Learning Research (TMLR), 2022
Paper / Openreview

Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang, Haoliang Li, Lap-pui Chau, and Alex C. Kot
ACM Multimedia (ACM MM), 2021
Paper

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang, Renjie Wan, Tie-Qaing Li, Alex C. Kot
Neural Information Processing Systems (NeurIPS), 2021
Paper / Code

Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang, Haoliang Li, Alex C. Kot
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Paper / Code

Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Haoliang Li*, Yufei Wang*, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot
Arxiv, 2020
Paper

Professional Service

  • Journal reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, etc
  • Conference reviewer: ICML, NeurIPS, ICLR, AAAI, etc