Yufei Wang

Yufei Wang (王雨飞)

Ph.D. student,
Nanyang Technological University, Singapore

E-mail: yufei001 [AT] e.ntu.edu.sg

About me

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)

News

[Sep, 2024] Two papers are accepted by NeurIPS 2024！
[July, 2024] One ACM MM and two ECCV are accepted！
[May 31, 2024] A paper is accepted by IJCV 2024！
[May 2, 2024] Two papers are accepted by ICML 2024！
[Feb 27, 2024] Two papers are accepted by CVPR 2024！
[Feb'21, 2024] Ph.D. Thesis submitted! Expect to get the graduation certificate in early of 2025 🎉

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: / / / /

(* represents the equal contribution.)

	NeurIPS'24 ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Mode Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex C. Kot, Bihan Wen Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 Paper / Code
	NeurIPS'24 From Chaos to Clarity: 3DGS in the Dark Zhihao Li, Yufei Wang, Alex C. Kot, Bihan Wen Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 Paper
	Arxiv'24 DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild Honghao Fu, Yufei Wang, Wenhan Yang, Bihan Wen Arxiv, 2024 Paper / Code
	SPL'24 Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems Yufei Wang, Haoliang Li, Liepiao Zhao, Yongjian Hu, Alex C. Kot Signal Processing Letter, 2024 Preprint
	ACM MM'24 Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex C. Kot ACM Multimedia (ACM MM), 2024 (Oral Presentation 3.97%) Paper
	IJCV'24 Beyond Learned Metadata-based Raw Image Reconstruction Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen International Journal of Computer Vision (IJCV), 2024 Paper / Code
	ECCV'24 Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li, Bihan Wen The European Conference on Computer Vision (ECCV), 2024 Paper coming soon
	ECCV'24 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 The European Conference on Computer Vision (ECCV), 2024 Paper
	ICML'24 Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot International Conference on Machine Learning (ICML), 2024 Paper / Code
	ICML'24 Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach Zhihao Li, Yufei Wang, Alex C. Kot, Bihan Wen International Conference on Machine Learning (ICML), 2024 Paper / Code
	CVPR'24 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
	CVPR'24 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 (Highlight) Paper
	ICCV'23 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
	ICCV'23 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
	ISCAS'23 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
	CVPR'23 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
	CVPR'23 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
	CVPR'23 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
	ICIP'23 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
	TNNLS'23 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
	ICLR'23 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
	TKDE'23 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
	AAAI'22 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
	TMLR'22 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
	ACM MM'22 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
	NeurIPS'21 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
	ICASSP'20 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