| Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning H Li, X He, D Tao, Y Tang, R Wang Pattern Recognition 79, 130-146, 2018 | 217 | 2018 |
| Infrared and visible image fusion scheme based on NSCT and low-level visual features H Li, H Qiu, Z Yu, Y Zhang Infrared Physics & Technology 76, 174-184, 2016 | 124 | 2016 |
| Multifocus image fusion via fixed window technique of multiscale images and non-local means filtering H Li, H Qiu, Z Yu, B Li Signal Processing 138, 71-85, 2017 | 83 | 2017 |
| Discriminative dictionary learning-based multiple component decomposition for detail-preserving noisy image fusion H Li, Y Wang, Z Yang, R Wang, X Li, D Tao IEEE Transactions on Instrumentation and Measurement 69 (4), 1082-1102, 2019 | 82 | 2019 |
| Attribute-aligned domain-invariant feature learning for unsupervised domain adaptation person re-identification H Li, Y Chen, D Tao, Z Yu, G Qi IEEE Transactions on Information Forensics and Security 16, 1480-1494, 2020 | 77 | 2020 |
| Multifocus image fusion by combining with mixed-order structure tensors and multiscale neighborhood H Li, X Li, Z Yu, C Mao Information Sciences 349, 25-49, 2016 | 77 | 2016 |
| Different input resolutions and arbitrary output resolution: A meta learning-based deep framework for infrared and visible image fusion H Li, Y Cen, Y Liu, X Chen, Z Yu IEEE Transactions on Image Processing 30, 4070-4083, 2021 | 70 | 2021 |
| Triple adversarial learning and multi-view imaginative reasoning for unsupervised domain adaptation person re-identification H Li, N Dong, Z Yu, D Tao, G Qi IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 2814-2830, 2021 | 69 | 2021 |
| Fractional differential and variational method for image fusion and super-resolution H Li, Z Yu, C Mao Neurocomputing 171, 138-148, 2016 | 61 | 2016 |
| Attribute-identity embedding and self-supervised learning for scalable person re-identification H Li, S Yan, Z Yu, D Tao IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3472 …, 2019 | 53 | 2019 |
| Performance improvement scheme of multifocus image fusion derived by difference images H Li, X Liu, Z Yu, Y Zhang Signal Processing 128, 474-493, 2016 | 53 | 2016 |
| Noise-robust image fusion with low-rank sparse decomposition guided by external patch prior H Li, X He, Z Yu, J Luo Information Sciences 523, 14-37, 2020 | 42 | 2020 |
| Learning modal-invariant and temporal-memory for video-based visible-infrared person re-identification X Lin, J Li, Z Ma, H Li, S Li, K Xu, G Lu, D Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Multifocus image fusion scheme based on the multiscale curvature in nonsubsampled contourlet transform domain X Li, H Li, Z Yu, Y Kong Optical Engineering 54 (7), 073115-073115, 2015 | 40 | 2015 |
| Multi-focus image fusion with deep residual learning and focus property detection Y Liu, L Wang, H Li, X Chen Information Fusion 86, 1-16, 2022 | 33 | 2022 |
| Top distance regularized projection and dictionary learning for person re-identification H Li, J Xu, J Zhu, D Tao, Z Yu Information Sciences 502, 472-491, 2019 | 29 | 2019 |
| A new fusion scheme for multifocus images based on focused pixels detection H Li, Y Chai, Z Li Machine vision and applications 24, 1167-1181, 2013 | 29 | 2013 |
| Jointly learning commonality and specificity dictionaries for person re-identification H Li, J Xu, Z Yu, J Luo IEEE Transactions on Image Processing 29, 7345-7358, 2020 | 28 | 2020 |
| Dual-stream reciprocal disentanglement learning for domain adaptation person re-identification H Li, K Xu, J Li, Z Yu Knowledge-Based Systems 251, 109315, 2022 | 26 | 2022 |
| Cross adversarial consistency self-prediction learning for unsupervised domain adaptation person re-identification H Li, J Pang, D Tao, Z Yu Information Sciences 559, 46-60, 2021 | 26 | 2021 |
