| Zero-reference deep curve estimation for low-light image enhancement C Guo, C Li, J Guo, CC Loy, J Hou, S Kwong, R Cong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1930 | 2020 |
| An underwater image enhancement benchmark dataset and beyond C Li, C Guo, W Ren, R Cong, J Hou, S Kwong, D Tao IEEE transactions on image processing 29, 4376-4389, 2019 | 1702 | 2019 |
| Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior CY Li, JC Guo, RM Cong, YW Pang, B Wang IEEE Transactions on Image Processing 25 (12), 5664-5677, 2016 | 806 | 2016 |
| Underwater image enhancement via medium transmission-guided multi-color space embedding C Li, S Anwar, J Hou, R Cong, C Guo, W Ren IEEE Transactions on Image Processing 30, 4985-5000, 2021 | 669 | 2021 |
| Global context-aware progressive aggregation network for salient object detection Z Chen, Q Xu, R Cong, Q Huang Proceedings of the AAAI conference on artificial intelligence 34 (07), 10599 …, 2020 | 505 | 2020 |
| Review of visual saliency detection with comprehensive information R Cong, J Lei, H Fu, MM Cheng, W Lin, Q Huang IEEE Transactions on Circuits and Systems for Video Technology 29 (10), 2941 …, 2019 | 432 | 2019 |
| Image dehazing transformer with transmission-aware 3d position embedding CL Guo, Q Yan, S Anwar, R Cong, W Ren, C Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 369 | 2022 |
| Nested network with two-stream pyramid for salient object detection in optical remote sensing images C Li, R Cong, J Hou, S Zhang, Y Qian, S Kwong IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9156-9166, 2019 | 259 | 2019 |
| Dense attention fluid network for salient object detection in optical remote sensing images Q Zhang, R Cong, C Li, MM Cheng, Y Fang, X Cao, Y Zhao, S Kwong IEEE Transactions on Image Processing 30, 1305-1317, 2020 | 251 | 2020 |
| Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion R Cong, J Lei, C Zhang, Q Huang, X Cao, C Hou IEEE Signal Processing Letters 23 (6), 819-823, 2016 | 250 | 2016 |
| ASIF-Net: Attention steered interweave fusion network for RGB-D salient object detection C Li, R Cong, S Kwong, J Hou, H Fu, G Zhu, D Zhang, Q Huang IEEE transactions on cybernetics 51 (1), 88-100, 2020 | 243 | 2020 |
| DPANet: Depth potentiality-aware gated attention network for RGB-D salient object detection Z Chen, R Cong, Q Xu, Q Huang IEEE Transactions on Image Processing 30, 7012-7024, 2020 | 230 | 2020 |
| A hybrid method for underwater image correction C Li, J Guo, C Guo, R Cong, J Gong Pattern Recognition Letters 94, 62-67, 2017 | 218 | 2017 |
| Hierarchical features driven residual learning for depth map super-resolution C Guo, C Li, J Guo, R Cong, H Fu, P Han IEEE Transactions on Image Processing 28 (5), 2545-2557, 2019 | 201 | 2019 |
| Underwater image enhancement quality evaluation: Benchmark dataset and objective metric Q Jiang, Y Gu, C Li, R Cong, F Shao IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 5959-5974, 2022 | 189 | 2022 |
| PDR-Net: perception-inspired single image dehazing network with refinement C Li, C Guo, J Guo, P Han, H Fu, R Cong IEEE Transactions on Multimedia, 2019 | 171 | 2019 |
| RGB-D salient object detection with cross-modality modulation and selection C Li, R Cong, Y Piao, Q Xu, CC Loy Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 166 | 2020 |
| Going from RGB to RGBD saliency: A depth-guided transformation model R Cong, J Lei, H Fu, J Hou, Q Huang, S Kwong IEEE transactions on cybernetics 50 (8), 3627-3639, 2019 | 160 | 2019 |
| Perceptual hashing for image authentication: A survey L Du, ATS Ho, R Cong Signal Processing: Image Communication 81, 115713, 2020 | 154 | 2020 |
| Co-saliency detection for RGBD images based on multi-constraint feature matching and cross label propagation R Cong, J Lei, H Fu, Q Huang, X Cao, C Hou IEEE Transactions on Image Processing 27 (2), 568-579, 2018 | 151 | 2018 |
Sam KwongLingnan Univerity, Hong Kongبريد إلكتروني تم التحقق منه على ln.edu.hk
