Low-light image enhancement with normalizing flow Y Wang, R Wan, W Yang, H Li, LP Chau, A Kot Proceedings of the AAAI conference on artificial intelligence 36 (3), 2604-2612, 2022 | 272 | 2022 |
Domain generalization for medical imaging classification with linear-dependency regularization H Li, Y Wang, R Wan, S Wang, TQ Li, A Kot Advances in Neural Information Processing Systems 33, 3118-3129, 2020 | 143 | 2020 |
Heterogeneous domain generalization via domain mixup Y Wang, H Li, AC Kot ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 139 | 2020 |
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal L Guo, C Wang, W Yang, S Huang, Y Wang, H Pfister, B Wen The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2022 | 51 | 2022 |
Embracing the dark knowledge: Domain generalization using regularized knowledge distillation Y Wang, H Li, L Chau, AC Kot Proceedings of the 29th ACM International Conference on Multimedia, 2595-2604, 2021 | 40 | 2021 |
Light can hack your face! black-box backdoor attack on face recognition systems H Li*, Y Wang*, X Xie, Y Liu, S Wang, R Wan, LP Chau, AC Kot arXiv preprint arXiv:2009.06996, 2020 | 28 | 2020 |
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen ICCV 2023, 2023 | 22 | 2023 |
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Y Yu, Y Wang, W Yang, S Lu, Y Tan, AC Kot The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 21 | 2023 |
Variational disentanglement for domain generalization Y Wang, H Li, LP Chau, AC Kot Transactions on Machine Learning Research (TMLR), 2022 | 19 | 2022 |
Disentangled feature representation for few-shot image classification H Cheng, Y Wang, H Li, AC Kot, B Wen IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 17 | 2021 |
Privacy-preserving constrained domain generalization for medical image classification CX Tian, H Li, Y Wang, S Wang arXiv e-prints, arXiv: 2105.08511, 2021 | 11 | 2021 |
Temporal Coherent Test Time Optimization for Robust Video Classification C Yi, S YANG, Y Wang, H Li, Y Tan, A Kot International Conference on Learning Representations, 2023 | 9 | 2023 |
Raw Image Reconstruction with Learned Compact Metadata Y Wang, Y Yu, W Yang, L Guo, LP Chau, A Kot, B Wen The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 7 | 2023 |
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation L Guo, Y He, H Chen, M Xia, X Cun, Y Wang, S Huang, Y Zhang, X Wang, ... arXiv preprint arXiv:2402.10491, 2024 | 4 | 2024 |
SinSR: Diffusion-Based Image Super-Resolution in a Single Step Y Wang, W Yang, X Chen, Y Wang, L Guo, LP Chau, Z Liu, Y Qiao, ... The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2023 | 4 | 2023 |
Privacy-preserving constrained domain generalization via gradient alignment CX Tian, H Li, Y Wang, S Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
Removing Image Artifacts From Scratched Lens Protectors Y Wang, R Wan, W Yang, B Wen, L Chau, AC Kot ISCAS 2023, 2023 | 3 | 2023 |
Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal L Guo, C Wang, W Yang, Y Wang, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Beyond learned metadata-based raw image reconstruction Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen International Journal of Computer Vision (IJCV), 2024 | 1 | 2024 |
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model Y Wang, Z Li, L Guo, W Yang, AC Kot, B Wen arXiv preprint arXiv:2405.20721, 2024 | | 2024 |