Efficient coarse-to-fine patchmatch for large displacement optical flow Y Hu, R Song, Y Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 263 | 2016 |
Hyperspectral image reconstruction by deep convolutional neural network for classification Y Li, W Xie, H Li Pattern Recognition 63, 371-383, 2017 | 253 | 2017 |
Hyperspectral image super-resolution using deep convolutional neural network Y Li, J Hu, X Zhao, W Xie, JJ Li Neurocomputing 266, 29-41, 2017 | 175 | 2017 |
Classification of hyperspectral imagery using a new fully convolutional neural network J Li, X Zhao, Y Li, Q Du, B Xi, J Hu IEEE Geoscience and Remote Sensing Letters 15 (2), 292-296, 2018 | 159 | 2018 |
Discriminative reconstruction constrained generative adversarial network for hyperspectral anomaly detection T Jiang, Y Li, W Xie, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4666-4679, 2020 | 158 | 2020 |
Adaptive weighted attention network with camera spectral sensitivity prior for spectral reconstruction from RGB images J Li, C Wu, R Song, Y Li, F Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 132 | 2020 |
Hyperspectral pansharpening using deep prior and dual attention residual network Y Zheng, J Li, Y Li, J Guo, X Wu, J Chanussot IEEE transactions on geoscience and remote sensing 58 (11), 8059-8076, 2020 | 107 | 2020 |
SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery J Zhang, J Lei, W Xie, Z Fang, Y Li, Q Du IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 104 | 2023 |
Hyperspectral classification based on texture feature enhancement and deep belief networks J Li, B Xi, Y Li, Q Du, K Wang Remote Sensing 10 (3), 396, 2018 | 104 | 2018 |
Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection W Xie, J Lei, B Liu, Y Li, X Jia Neural Networks 119, 222-234, 2019 | 103 | 2019 |
Structure tensor and guided filtering-based algorithm for hyperspectral anomaly detection W Xie, T Jiang, Y Li, X Jia, J Lei IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4218-4230, 2019 | 102 | 2019 |
Hyperspectral pansharpening with deep priors W Xie, J Lei, Y Cui, Y Li, Q Du IEEE transactions on neural networks and learning systems 31 (5), 1529-1543, 2019 | 101 | 2019 |
Robust interpolation of correspondences for large displacement optical flow Y Hu, Y Li, R Song Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 89 | 2017 |
Autoencoder and adversarial-learning-based semisupervised background estimation for hyperspectral anomaly detection W Xie, B Liu, Y Li, J Lei, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5416-5427, 2020 | 86 | 2020 |
Hyperspectral image super-resolution by band attention through adversarial learning J Li, R Cui, B Li, R Song, Y Li, Y Dai, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4304-4318, 2020 | 82 | 2020 |
High-throughput power-efficient VLSI architecture of fractional motion estimation for ultra-HD HEVC video encoding G He, D Zhou, Y Li, Z Chen, T Zhang, S Goto IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (12 …, 2015 | 81 | 2015 |
A GPU-accelerated wavelet decompression system with SPIHT and Reed-Solomon decoding for satellite images C Song, Y Li, B Huang IEEE Journal of selected topics in applied earth observations and remote …, 2011 | 81 | 2011 |
Contrastive semi-supervised learning for underwater image restoration via reliable bank S Huang, K Wang, H Liu, J Chen, Y Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 76 | 2023 |
Hyperspectral image super-resolution using deep feature matrix factorization W Xie, X Jia, Y Li, J Lei IEEE Transactions on Geoscience and Remote Sensing 57 (8), 6055-6067, 2019 | 76 | 2019 |
Hyperspectral imagery denoising by deep learning with trainable nonlinearity function W Xie, Y Li IEEE Geoscience and Remote Sensing Letters 14 (11), 1963-1967, 2017 | 76 | 2017 |