| 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 | 260 | 2016 |
| MCL-V: A streaming video quality assessment database JY Lin, R Song, CH Wu, TJ Liu, H Wang, CCJ Kuo Journal of Visual Communication and Image Representation 30, 1-9, 2015 | 121 | 2015 |
| 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 | 113 | 2020 |
| 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 | 88 | 2017 |
| MCL-3D: A database for stereoscopic image quality assessment using 2D-image-plus-depth source R Song, H Ko, CC Kuo arXiv preprint arXiv:1405.1403, 2014 | 87 | 2014 |
| 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 | 73 | 2020 |
| Ntire 2022 spectral recovery challenge and data set B Arad, R Timofte, R Yahel, N Morag, A Bernat, Y Cai, J Lin, Z Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 71 | 2022 |
| Asfm-net: Asymmetrical siamese feature matching network for point completion Y Xia, Y Xia, W Li, R Song, K Cao, U Stilla Proceedings of the 29th ACM international conference on multimedia, 1938-1947, 2021 | 53 | 2021 |
| Semisupervised cross-scale graph prototypical network for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Xiao, Q Du, J Chanussot IEEE Transactions on Neural Networks and Learning Systems, 2022 | 52 | 2022 |
| Few-shot learning with class-covariance metric for hyperspectral image classification B Xi, J Li, Y Li, R Song, D Hong, J Chanussot IEEE Transactions on Image Processing 31, 5079-5092, 2022 | 49 | 2022 |
| Hybrid 2-D–3-D deep residual attentional network with structure tensor constraints for spectral super-resolution of RGB images J Li, C Wu, R Song, W Xie, C Ge, B Li, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2321-2335, 2020 | 37 | 2020 |
| Deep prototypical networks with hybrid residual attention for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Shi, S Liu, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 35 | 2020 |
| Local spectral similarity preserving regularized robust sparse hyperspectral unmixing J Li, Y Li, R Song, S Mei, Q Du IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7756-7769, 2019 | 35 | 2019 |
| Multi-direction networks with attentional spectral prior for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Xiao, Y Shi, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 31 | 2021 |
| A stepwise domain adaptive segmentation network with covariate shift alleviation for remote sensing imagery J Li, S Zi, R Song, Y Li, Y Hu, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 30 | 2022 |
| Coarse-to-fine PatchMatch for dense correspondence Y Li, Y Hu, R Song, P Rao, Y Wang IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2233-2245, 2017 | 29 | 2017 |
| Multiscale context-aware ensemble deep KELM for efficient hyperspectral image classification B Xi, J Li, Y Li, R Song, W Sun, Q Du IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5114-5130, 2020 | 25 | 2020 |
| Hyperspectral image super-resolution with 1D–2D attentional convolutional neural network J Li, R Cui, B Li, R Song, Y Li, Q Du Remote Sensing 11 (23), 2859, 2019 | 25 | 2019 |
| Deep hybrid 2-D–3-D CNN based on dual second-order attention with camera spectral sensitivity prior for spectral super-resolution J Li, C Wu, R Song, Y Li, W Xie, L He, X Gao IEEE Transactions on Neural Networks and Learning Systems 34 (2), 623-634, 2021 | 24 | 2021 |
| Highly accurate optical flow estimation on superpixel tree Y Hu, R Song, Y Li, P Rao, Y Wang Image and Vision Computing 52, 167-177, 2016 | 19 | 2016 |
Jiaojiao Lixidian university在 xidian.edu.cn 的电子邮件经过验证
