FusionGAN: A generative adversarial network for infrared and visible image fusion J Ma, W Yu, P Liang, C Li, J Jiang Information fusion 48, 11-26, 2019 | 1684 | 2019 |
Infrared and visible image fusion methods and applications: A survey J Ma, Y Ma, C Li Information Fusion 45, 153-178, 2019 | 1494 | 2019 |
Infrared and visible image fusion via gradient transfer and total variation minimization J Ma, C Chen, C Li, J Huang Information Fusion 31, 100-109, 2016 | 1083 | 2016 |
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention W Tao, C Li, R Song, J Cheng, Y Liu, F Wan, X Chen IEEE Transactions on Affective Computing 14 (1), 382-393, 2023 | 394 | 2023 |
AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks J Li, H Huo, C Li, R Wang, Q Feng IEEE Transactions on Multimedia 23, 1383-1396, 2021 | 302 | 2021 |
Multi-focus image fusion: A survey of the state of the art Y Liu, L Wang, J Cheng, C Li, X Chen Information Fusion 64, 71-91, 2020 | 283 | 2020 |
Emotion Recognition From Multi-Channel EEG via Deep Forest J Cheng, M Chen, C Li, Y Liu, R Song, A Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (2), 453-464, 2021 | 219 | 2021 |
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography R Song, H Chen, J Cheng, C Li, Y Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (5), 1373-1384, 2021 | 204 | 2021 |
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network Y Liu, Y Ding, C Li, J Cheng, R Song, F Wan, X Chen Computers in Biology and Medicine 123, 103927, 2020 | 191 | 2020 |
Spatial–Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising H Fan, C Li, Y Guo, G Kuang, J Ma IEEE Transactions on Geoscience and Remote Sensing 56 (10), 6196-6213, 2018 | 167 | 2018 |
Hyperspectral image denoising with superpixel segmentation and low-rank representation F Fan, Y Ma, C Li, X Mei, J Huang, J Ma Information Sciences 397, 48-68, 2017 | 148 | 2017 |
CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion J Li, J Zhu, C Li, X Chen, B Yang IEEE Transactions on Instrumentation and Measurement 71, 5012314, 2022 | 129 | 2022 |
Heart Rate Estimation From Facial Videos Using a Spatiotemporal Representation With Convolutional Neural Networks R Song, S Zhang, C Li, Y Zhang, J Cheng, X Chen IEEE Transactions on Instrumentation and Measurement 69 (10), 7411-7421, 2020 | 127 | 2020 |
Hyperspectral Image Classification With Robust Sparse Representation C Li, Y Ma, X Mei, C Liu, J Ma IEEE Geoscience and Remote Sensing Letters 13 (5), 641-645, 2016 | 105 | 2016 |
New insights on super-high resolution for video-based heart rate estimation with a semi-blind source separation method R Song, S Zhang, J Cheng, C Li, X Chen Computers in biology and medicine 116, 103535, 2020 | 99 | 2020 |
Multigrained Attention Network for Infrared and Visible Image Fusion J Li, H Huo, C Li, R Wang, C Sui, Z Liu IEEE Transactions on Instrumentation and Measurement 70, 5002412, 2021 | 98 | 2021 |
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism C Li, B Wang, S Zhang, Y Liu, R Song, J Cheng, X Chen Computers in Biology and Medicine 143, 105303, 2022 | 92 | 2022 |
Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance J Li, H Huo, K Liu, C Li Information Sciences 529, 28-41, 2020 | 87 | 2020 |
Hyperspectral image denoising using the robust low-rank tensor recovery C Li, Y Ma, J Huang, X Mei, J Ma JOSA A 32 (9), 1604-1612, 2015 | 87 | 2015 |
Robust Sparse Hyperspectral Unmixing With Norm Y Ma, C Li, X Mei, C Liu, J Ma IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1227-1239, 2016 | 79 | 2016 |