| Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement R Liu, L Ma, J Zhang, X Fan, Z Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 782 | 2021 |
| Toward fast, flexible, and robust low-light image enhancement L Ma, T Ma, R Liu, X Fan, Z Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 692 | 2022 |
| Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection J Liu, X Fan, Z Huang, G Wu, R Liu, W Zhong, Z Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 602 | 2022 |
| Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light R Liu, X Fan, M Zhu, M Hou, Z Luo IEEE transactions on circuits and systems for video technology 30 (12), 4861 …, 2020 | 588 | 2020 |
| Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion J Liu, X Fan, J Jiang, R Liu, Z Luo IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 105-119, 2021 | 279 | 2021 |
| Super-resolution of human face image using canonical correlation analysis H Huang, H He, X Fan, J Zhang Pattern Recognition 43 (7), 2532-2543, 2010 | 254 | 2010 |
| Twin adversarial contrastive learning for underwater image enhancement and beyond R Liu, Z Jiang, S Yang, X Fan IEEE Transactions on Image Processing 31, 4922-4936, 2022 | 231 | 2022 |
| Unsupervised misaligned infrared and visible image fusion via cross-modality image generation and registration D Wang, J Liu, X Fan, R Liu arXiv preprint arXiv:2205.11876, 2022 | 193 | 2022 |
| Target oriented perceptual adversarial fusion network for underwater image enhancement Z Jiang, Z Li, S Yang, X Fan, R Liu IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 6584 …, 2022 | 180 | 2022 |
| Segment, magnify and reiterate: Detecting camouflaged objects the hard way Q Jia, S Yao, Y Liu, X Fan, R Liu, Z Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 174 | 2022 |
| White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study H Huang, X Fan, DE Williamson, U Rao Neuropsychopharmacology 36 (3), 684-691, 2011 | 172 | 2011 |
| Distinctive disruption patterns of white matter tracts in Alzheimer's disease with full diffusion tensor characterization H Huang, X Fan, M Weiner, K Martin-Cook, G Xiao, J Davis, M Devous, ... Neurobiology of aging 33 (9), 2029-2045, 2012 | 141 | 2012 |
| A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion R Liu, J Liu, Z Jiang, X Fan, Z Luo IEEE transactions on image processing 30, 1261-1274, 2020 | 133 | 2020 |
| Joint residual learning for underwater image enhancement M Hou, R Liu, X Fan, Z Luo 2018 25th IEEE international conference on image processing (ICIP), 4043-4047, 2018 | 130 | 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 | 129 | 2023 |
| A dataset and benchmark of underwater object detection for robot picking C Liu, H Li, S Wang, M Zhu, D Wang, X Fan, Z Wang 2021 IEEE international conference on multimedia & expo workshops (ICMEW), 1-6, 2021 | 121 | 2021 |
| Leveraging line-point consistence to preserve structures for wide parallax image stitching Q Jia, ZJ Li, X Fan, H Zhao, S Teng, X Ye, LJ Latecki Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 118 | 2021 |
| Attention-guided global-local adversarial learning for detail-preserving multi-exposure image fusion J Liu, J Shang, R Liu, X Fan IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5026-5040, 2022 | 117 | 2022 |
| Learning deep context-sensitive decomposition for low-light image enhancement L Ma, R Liu, J Zhang, X Fan, Z Luo IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5666-5680, 2021 | 115 | 2021 |
| Learning aggregated transmission propagation networks for haze removal and beyond R Liu, X Fan, M Hou, Z Jiang, Z Luo, L Zhang IEEE transactions on neural networks and learning systems 30 (10), 2973-2986, 2018 | 115 | 2018 |
Qi JiaDalian University of TechnologyZweryfikowany adres z dlut.edu.cn
