| U²-Former: Nested U-Shaped Transformer for Image Restoration via Multi-View Contrastive Learning X Feng, H Ji, W Pei, J Li, G Lu, D Zhang IEEE Transactions on Circuits and Systems for Video Technology 34 (1), 168-181, 2023 | 63* | 2023 |
| Deep-masking generative network: A unified framework for background restoration from superimposed images X Feng, W Pei, Z Jia, F Chen, D Zhang, G Lu IEEE Transactions on Image Processing 30, 4867-4882, 2021 | 41 | 2021 |
| Generative memory-guided semantic reasoning model for image inpainting X Feng, W Pei, F Li, F Chen, D Zhang, G Lu IEEE Transactions on Circuits and Systems for Video Technology 32 (11), 7432 …, 2022 | 21 | 2022 |
| Contrastive Feature Decomposition for Image Reflection Removal X Feng, H Ji, B Jiang, W Pei, F Chen, G Lu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| GAN inversion-based semi-supervised learning for medical image segmentation X Feng, J Lin, CM Feng, G Lu Biomedical Signal Processing and Control 88, 105536, 2024 | 9 | 2024 |
| Global-local stepwise generative network for ultra high-resolution image restoration X Feng, H Ji, W Pei, F Chen, G Lu arXiv preprint arXiv:2207.08808, 2022 | 5 | 2022 |
| Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection X Feng, Y Xu, G Lu, W Pei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Learning generalizable latent representations for novel degradations in super-resolution F Li, X Feng, F Chen, G Lu, W Pei Proceedings of the 30th ACM International Conference on Multimedia, 1797-1807, 2022 | 3 | 2022 |
| A pseudo entropy based self-organizing neural network for nonlinear system X Feng, J Kan International Journal of Circuits, System and Signal Processing 13, 266-272, 2019 | 2 | 2019 |
| Learning Sequence Representations by Non-local Recurrent Neural Memory W Pei, X Feng, C Fu, Q Cao, G Lu, YW Tai International Journal of Computer Vision 130 (10), 2532-2552, 2022 | 1 | 2022 |
| Contrastive feature decomposition for single image layer separation X Feng, J Li, H Ji, W Pei, G Lu, D Zhang Neural Computing and Applications 36 (14), 8039-8053, 2024 | | 2024 |
Guangming LuHarbin Institute of Technology, ShenzhenZweryfikowany adres z hit.edu.cn
