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 | 1859 | 2020 |
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 | 795 | 2016 |
Emerging from water: Underwater image color correction based on weakly supervised color transfer C Li, J Guo, C Guo IEEE Signal processing letters 25 (3), 323-327, 2018 | 549 | 2018 |
LightenNet: A convolutional neural network for weakly illuminated image enhancement C Li, J Guo, F Porikli, Y Pang Pattern recognition letters 104, 15-22, 2018 | 480 | 2018 |
UIEC^ 2-Net: CNN-based underwater image enhancement using two color space Y Wang, J Guo, H Gao, H Yue Signal Processing: Image Communication 96, 116250, 2021 | 249 | 2021 |
Passive forensics for copy-move image forgery using a method based on DCT and SVD J Zhao, J Guo Forensic science international 233 (1-3), 158-166, 2013 | 228 | 2013 |
A hybrid method for underwater image correction C Li, J Guo, C Guo, R Cong, J Gong Pattern Recognition Letters 94, 62-67, 2017 | 211 | 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, 2018 | 200 | 2018 |
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 22 (3), 704-716, 2019 | 165 | 2019 |
Stacked semantics-guided attention model for fine-grained zero-shot learning Z Ji, Y Fu, J Guo, Y Pang, ZM Zhang Advances in neural information processing systems 31, 2018 | 160 | 2018 |
Objective quality assessment method of stereo images J Yang, C Hou, Y Zhou, Z Zhang, J Guo 2009 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2009 | 144 | 2009 |
A cascaded convolutional neural network for single image dehazing C Li, J Guo, F Porikli, H Fu, Y Pang IEEE Access 6, 24877-24887, 2018 | 115 | 2018 |
Underwater image enhancement by dehazing and color correction C Li, J Guo Journal of Electronic Imaging 24 (3), 033023-033023, 2015 | 105 | 2015 |
Transductive zero-shot learning with a self-training dictionary approach Y Yu, Z Ji, X Li, J Guo, Z Zhang, H Ling, F Wu IEEE transactions on cybernetics 48 (10), 2908-2919, 2018 | 93 | 2018 |
Image denoising using modified Perona–Malik model based on directional Laplacian YQ Wang, J Guo, W Chen, W Zhang Signal Processing 93 (9), 2548-2558, 2013 | 91 | 2013 |
Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging C Li, J Guo, S Chen, Y Tang, Y Pang, J Wang 2016 IEEE International Conference on Image Processing (ICIP), 1993-1997, 2016 | 87 | 2016 |
Cross-domain correlation distillation for unsupervised domain adaptation in nighttime semantic segmentation H Gao, J Guo, G Wang, Q Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 83 | 2022 |
Zero-shot learning via latent space encoding Y Yu, Z Ji, J Guo, Z Zhang IEEE transactions on cybernetics 49 (10), 3755-3766, 2018 | 78 | 2018 |
基于偏最小二乘回归建模的探讨 罗批, 郭继昌, 李锵, 滕建辅 天津大学学报: 自然科学与工程技术版 35 (6), 783-786, 2002 | 56 | 2002 |
Transductive zero-shot learning with adaptive structural embedding Y Yu, Z Ji, J Guo, Y Pang IEEE transactions on neural networks and learning systems 29 (9), 4116-4127, 2017 | 49 | 2017 |