| 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 | 418 | 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 | 194 | 2020 |
| Heterogeneous domain generalization via domain mixup Y Wang, H Li, AC Kot ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 167 | 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 | 103 | 2022 |
| 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 | 55 | 2023 |
| 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 | 54 | 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 | 49 | 2023 |
| 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 | 43 | 2021 |
| Clean-Label Attack on Face Authentication Systems Through Rolling Shutter Mechanism Y Wang, H Li, L Zhang, Y Hu, AC Kot IEEE Signal Processing Letters, 2024 | 36* | 2024 |
| 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 | 33 | 2021 |
| Variational disentanglement for domain generalization Y Wang, H Li, LP Chau, AC Kot Transactions on Machine Learning Research (TMLR), 2022 | 27 | 2022 |
| 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, ... European Conference on Computer Vision, 39-55, 2024 | 16 | 2024 |
| 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 | 16 | 2023 |
| 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 | 16 | 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 | 12 | 2023 |
| Privacy-preserving constrained domain generalization for medical image classification CX Tian, H Li, Y Wang, S Wang arXiv e-prints, arXiv: 2105.08511, 2021 | 12 | 2021 |
| 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 | 8 | 2024 |
| Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Y Yu, Y Wang, S Xia, W Yang, S Lu, YP Tan, AC Kot International Conference on Machine Learning (ICML), 2024 | 7 | 2024 |
| Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI C Wang, L Guo, Y Wang, H Cheng, Y Yu, B Wen The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | 6 | 2024 |
| 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 | 4 | 2024 |
Alex KotNanyang Technological UniversityZweryfikowany adres z ntu.edu.sg