Waterloo exploration database: New challenges for image quality assessment models K Ma, Z Duanmu, Q Wu, Z Wang, H Yong, H Li, L Zhang IEEE Transactions on Image Processing 26 (2), 1004-1016, 2016 | 709 | 2016 |
Toward real-world single image super-resolution: A new benchmark and a new model J Cai, H Zeng, H Yong, Z Cao, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 532 | 2019 |
Variational denoising network: Toward blind noise modeling and removal Z Yue, H Yong, Q Zhao, D Meng, L Zhang Advances in neural information processing systems 32, 2019 | 381 | 2019 |
Robust multi-exposure image fusion: a structural patch decomposition approach K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang IEEE Transactions on Image Processing 26 (5), 2519-2532, 2017 | 368 | 2017 |
Gradient Centralization: A New Optimization Technique for Deep Neural Networks H Yong, J Huang, X Hua, L Zhang European Conference on Computer Vision, 635-652, 2020 | 223 | 2020 |
Robust online matrix factorization for dynamic background subtraction H Yong, D Meng, W Zuo, L Zhang IEEE transactions on pattern analysis and machine intelligence 40 (7), 1726-1740, 2017 | 186 | 2017 |
Fast multi-scale structural patch decomposition for multi-exposure image fusion H Li, K Ma, H Yong, L Zhang IEEE Transactions on Image Processing 29, 5805-5816, 2020 | 154 | 2020 |
Group mad competition-a new methodology to compare objective image quality models K Ma, Q Wu, Z Wang, Z Duanmu, H Yong, H Li, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 116 | 2016 |
Deep convolutional dictionary learning for image denoising H Zheng, H Yong, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 104 | 2021 |
Foreground gating and background refining network for surveillance object detection Z Fu, Y Chen, H Yong, R Jiang, L Zhang, XS Hua IEEE Transactions on Image Processing 28 (12), 6077-6090, 2019 | 84 | 2019 |
Group maximum differentiation competition: Model comparison with few samples K Ma, Z Duanmu, Z Wang, Q Wu, W Liu, H Yong, H Li, L Zhang IEEE Transactions on pattern analysis and machine intelligence 42 (4), 851-864, 2018 | 64 | 2018 |
Extreme learning machine with affine transformation inputs in an activation function J Cao, K Zhang, H Yong, X Lai, B Chen, Z Lin IEEE transactions on neural networks and learning systems 30 (7), 2093-2107, 2018 | 62 | 2018 |
Momentum batch normalization for deep learning with small batch size H Yong, J Huang, D Meng, X Hua, L Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
Sharp attention network via adaptive sampling for person re-identification C Shen, GJ Qi, R Jiang, Z Jin, H Yong, Y Chen, XS Hua IEEE Transactions on Circuits and Systems for Video Technology 29 (10), 3016 …, 2018 | 52 | 2018 |
Panoramic background image generation for PTZ cameras H Yong, J Huang, W Xiang, X Hua, L Zhang IEEE Transactions on Image Processing 28 (7), 3162-3176, 2019 | 34 | 2019 |
A probabilistic hierarchical model for multi-view and multi-feature classification J Li, H Yong, B Zhang, M Li, L Zhang, D Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 32 | 2018 |
Robust multiview subspace learning with nonindependently and nonidentically distributed complex noise Z Yue, H Yong, D Meng, Q Zhao, Y Leung, L Zhang IEEE transactions on neural networks and learning systems 31 (4), 1070-1083, 2019 | 21 | 2019 |
Degradation model learning for real-world single image super-resolution J Xiao, H Yong, L Zhang Proceedings of the Asian Conference on Computer Vision, 2020 | 20 | 2020 |
FPCANet: Fisher discrimination for principal component analysis network K Sun, J Zhang, H Yong, J Liu Knowledge-Based Systems 166, 108-117, 2019 | 20 | 2019 |
Improving the stability of diffusion models for content consistent super-resolution L Sun, R Wu, Z Zhang, H Yong, L Zhang arXiv e-prints, arXiv: 2401.00877, 2023 | 13 | 2023 |