| Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement R Liu, L Ma, J Zhang, X Fan, Z Luo CVPR 2021, 2021 | 595 | 2021 |
| Toward Fast, Flexible, and Robust Low-Light Image Enhancement L Ma, T Ma, R Liu, X Fan, Z Luo CVPR 2022 (Oral), 2022 | 508 | 2022 |
| Learning deep context-sensitive decomposition for low-light image enhancement L Ma, R Liu, J Zhang, X Fan, Z Luo IEEE TNNLS, 2021 | 103 | 2021 |
| Learning converged propagations with deep prior ensemble for image enhancement R Liu, L Ma, Y Wang, L Zhang IEEE TIP 28 (3), 1528-1543, 2018 | 75 | 2018 |
| Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation J Liu, Z Liu, G Wu, L Ma, R Liu, W Zhong, Z Luo, X Fan Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 70 | 2023 |
| Deep proximal unrolling: Algorithmic framework, convergence analysis and applications R Liu, S Cheng, L Ma, X Fan, Z Luo IEEE TIP 28 (10), 5013-5026, 2019 | 68 | 2019 |
| Bilevel fast scene adaptation for low-light image enhancement L Ma, D Jin, N An, J Liu, X Fan, Z Luo, R Liu International Journal of Computer Vision, 1-19, 2023 | 50 | 2023 |
| Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model L Ma, R Liu, Y Wang, X Fan, Z Luo IEEE TMM, 2022 | 45 | 2022 |
| Learning with nested scene modeling and cooperative architecture search for low-light vision R Liu, L Ma, T Ma, X Fan, Z Luo IEEE TPAMI, 2022 | 41 | 2022 |
| Joint luminance and chrominance learning for underwater image enhancement X Xue, Z Hao, L Ma, Y Wang, R Liu IEEE SPL 28, 818-822, 2021 | 37 | 2021 |
| Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement X Xue, Z Li, L Ma, Q Jia, R Liu, X Fan Pattern recognition 133, 109041, 2023 | 28 | 2023 |
| Learning hadamard-product-propagation for image dehazing and beyond R Liu, S Li, J Liu, L Ma, X Fan, Z Luo IEEE TCSVT 31 (4), 1366-1379, 2020 | 26 | 2020 |
| Underexposed image correction via hybrid priors navigated deep propagation R Liu, L Ma, Y Zhang, X Fan, Z Luo IEEE TNNLS, 2021 | 25 | 2021 |
| Bi-level dynamic learning for jointly multi-modality image fusion and beyond Z Liu, J Liu, G Wu, L Ma, X Fan, R Liu arXiv preprint arXiv:2305.06720, 2023 | 20 | 2023 |
| A bridging framework for model optimization and deep propagation R Liu, S Cheng, X Liu, L Ma, X Fan, Z Luo NeurIPS 2018, 2018 | 19 | 2018 |
| Practical exposure correction: Great truths are always simple L Ma, T Ma, X Xue, X Fan, Z Luo, R Liu arXiv preprint arXiv:2212.14245, 2022 | 17 | 2022 |
| Task-oriented convex bilevel optimization with latent feasibility R Liu, L Ma, X Yuan, S Zeng, J Zhang IEEE TIP 31, 1190-1203, 2022 | 17* | 2022 |
| Deep layer prior optimization for single image rain streaks removal R Liu, Z Jiang, L Ma, X Fan, H Li, Z Luo ICASSP 2018, 2018 | 17 | 2018 |
| Paif: Perception-aware infrared-visible image fusion for attack-tolerant semantic segmentation Z Liu, J Liu, B Zhang, L Ma, X Fan, R Liu Proceedings of the 31st ACM International Conference on Multimedia, 3706-3714, 2023 | 16 | 2023 |
| Bridging the gap between low-light scenes: Bilevel learning for fast adaptation D Jin, L Ma, R Liu, X Fan ACM MM 2021, 2021 | 16 | 2021 |
Risheng LiuProfessor, Dalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
Risheng LiuProfessor, Dalian University of Technology在 dlut.edu.cn 的电子邮件经过验证