Yufei Wang

Orcid: 0000-0002-6326-7357

Affiliations:
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Rapid-Rich Object Search (ROSE) Lab, Singapore
  • University of Electronic Science and Technology of China, Chengdu, China (until 2020)


According to our database1, Yufei Wang authored at least 35 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling.
CoRR, May, 2025

Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Training-Free Text-Guided Image Editing with Visual Autoregressive Model.
CoRR, March, 2025

Clean-Label Attack on Face Authentication Systems Through Rolling Shutter Mechanism.
IEEE Signal Process. Lett., 2025

2024
Beyond Learned Metadata-Based Raw Image Reconstruction.
Int. J. Comput. Vis., December, 2024

Disentangled Feature Representation for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Privacy-Preserving Constrained Domain Generalization Via Gradient Alignment.
IEEE Trans. Knowl. Data Eng., May, 2024

Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey.
CoRR, 2024

DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild.
CoRR, 2024

ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

From Chaos to Clarity: 3DGS in the Dark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Temporal As a Plugin: Unsupervised Video Denoising with Pre-trained Image Denoisers.
Proceedings of the Computer Vision - ECCV 2024, 2024

SinSR: Diffusion-Based Image Super-Resolution in a Single Step.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Removing Image Artifacts From Scratched Lens Protectors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Temporal Coherent Test Time Optimization for Robust Video Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Low-Light Images Using Infrared Encoded Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Evaluating the efficacy of skincare product: A realistic short-term facial pore simulation.
Proceedings of the Imaging and Multimedia Analytics at the Edge 2023, 2023

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Raw Image Reconstruction with Learned Compact Metadata.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Variational Disentanglement for Domain Generalization.
Trans. Mach. Learn. Res., 2022

Low-Light Image Enhancement with Normalizing Flow.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Variational Disentanglement for Domain Generalization.
CoRR, 2021

Privacy-Preserving Constrained Domain Generalization for Medical Image Classification.
CoRR, 2021

Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems.
CoRR, 2020

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Heterogeneous Domain Generalization Via Domain Mixup.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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