| MetaFSCIL: a meta-learning approach for few-shot class incremental learning Z Chi, L Gu, H Liu, Y Wang, Y Yu, J Tang Conference on Computer Vision and Pattern Recognition (CVPR), 14166-14175, 2022 | 138 | 2022 |
| NTIRE 2022 challenge on efficient super-resolution: Methods and results Y Li, K Zhang, R Timofte, L Van Gool, F Kong, M Li, S Liu, Z Du, D Liu, ... Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2022 | 137 | 2022 |
| Dw-gan: A discrete wavelet transform gan for nonhomogeneous dehazing M Fu, H Liu, Y Yu, J Chen, K Wang Conference on Computer Vision and Pattern Recognition Workshop (Winner Award), 2021 | 125 | 2021 |
| Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank S Huang, K Wang, H Liu, J Chen, Y Li Conference on Computer Vision and Pattern Recognition (CVPR), 18145-18155, 2023 | 120 | 2023 |
| A two-branch neural network for non-homogeneous dehazing via ensemble learning Y Yu, H Liu, M Fu, J Chen, X Wang, K Wang Conference on Computer Vision and Pattern Recognition Workshop (Runner-up …, 2021 | 96 | 2021 |
| Few-shot class-incremental learning via entropy-regularized data-free replay H Liu, L Gu, Z Chi, Y Wang, Y Yu, J Chen, J Tang European Conference on Computer Vision (ECCV), 146-162, 2022 | 87 | 2022 |
| NTIRE 2021 nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 627-646, 2021 | 83 | 2021 |
| Towards multi-domain single image dehazing via test-time training H Liu, Z Wu, L Li, S Salehkalaibar, J Chen, K Wang Conference on Computer Vision and Pattern Recognition (CVPR), 5831-5840, 2022 | 56 | 2022 |
| NTIRE 2024 dense and non-homogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, Y Liu, X Wang, Y Zhu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer Y Liu, H Liu, L Li, Z Wu, J Chen Conference on Computer Vision and Pattern Recognition Workshop (Winner Award), 2023 | 16 | 2023 |
| FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset X Yin, X Liu, H Liu Artificial Neural Networks and Machine Learning, 421-432, 2021 | 16 | 2021 |
| SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge K Chen, L Li, H Liu, Y Li, C Tang, J Chen Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023 | 15 | 2023 |
| NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, H Zhou, W Dong, Y Liu, ... Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 1808 …, 2023 | 15 | 2023 |
| Meta-Auxiliary Learning for Future Depth Prediction in Videos H Liu, Z Chi, Y Yu, Y Wang, J Chen, J Tang Winter Conference on Applications of Computer Vision (WACV), 5756-5765, 2023 | 15 | 2023 |
| Fast Human Pose Estimation in Compressed Videos H Liu, W Liu, Z Chi, Y Wang, Y Yu, J Chen, J Tang IEEE Transactions on Multimedia 25, 1390-1400, 2022 | 13 | 2022 |
| Lossy compression with distribution shift as entropy constrained optimal transport H Liu, G Zhang, J Chen, AJ Khisti International Conference on Learning Representations (ICLR), 2022 | 11 | 2022 |
| GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models Z Zhang, H Liu, J Chen, X Xu arXiv preprint arXiv:2404.07206, 2024 | 9 | 2024 |
| FDCT: Fast Depth Completion for Transparent Objects T Li, Z Chen, H Liu, C Wang IEEE Robotics and Automation Letters (RA-L), 2023 | 7 | 2023 |
| Pseudo supervised monocular depth estimation with teacher-student network H Liu, J Yuan, C Wang, J Chen Technical Report, 2021 | 6 | 2021 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation Z Chi, L Gu, T Zhong, H Liu, Y YU, KN Plataniotis, Y Wang The Twelfth International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
Jun ChenElectrical and Computer Engineering, McMaster UniversityVerified email at mcmaster.ca
