| Exploring sparsity in image super-resolution for efficient inference L Wang, X Dong, Y Wang, X Ying, Z Lin, W An, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 200 | 2021 |
| Deformable 3d convolution for video super-resolution X Ying, L Wang, Y Wang, W Sheng, W An, Y Guo IEEE Signal Processing Letters 27, 1500-1504, 2020 | 127 | 2020 |
| A stereo attention module for stereo image super-resolution X Ying, Y Wang, L Wang, W Sheng, W An, Y Guo IEEE Signal Processing Letters 27, 496-500, 2020 | 104 | 2020 |
| Light field image super-resolution using deformable convolution Y Wang, J Yang, L Wang, X Ying, T Wu, W An, Y Guo IEEE Transactions on Image Processing 30, 1057-1071, 2020 | 103 | 2020 |
| Symmetric parallax attention for stereo image super-resolution Y Wang, X Ying, L Wang, J Yang, W An, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
| DSFNet: Dynamic and static fusion network for moving object detection in satellite videos C Xiao, Q Yin, X Ying, R Li, S Wu, M Li, L Liu, W An, Z Chen IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 32 | 2021 |
| Mapping degeneration meets label evolution: Learning infrared small target detection with single point supervision X Ying, L Liu, Y Wang, R Li, N Chen, Z Lin, W Sheng, S Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Local motion and contrast priors driven deep network for infrared small target superresolution X Ying, Y Wang, L Wang, W Sheng, L Liu, Z Lin, S Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 9 | 2022 |
| Mocopnet: Exploring local motion and contrast priors for infrared small target super-resolution X Ying, Y Wang, L Wang, W Sheng, L Liu, Z Lin, S Zhou arXiv e-prints, arXiv: 2201.01014, 2022 | 6 | 2022 |
| Learning sparse masks for efficient image super-resolution L Wang, X Dong, Y Wang, X Ying, Z Lin, W An, Y Guo arXiv preprint arXiv:2006.09603 2, 2020 | 6 | 2020 |
| Exploring fine-grained sparsity in convolutional neural networks for efficient inference L Wang, Y Guo, X Dong, Y Wang, X Ying, Z Lin, W An IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4474-4493, 2022 | 4 | 2022 |
| Multi-scale optical flow estimation for video infrared small target detection Y Luo, X Ying, R Li, Y Wan, B Hu, Q Ling 2022 2nd International conference on computer science, electronic …, 2022 | 3 | 2022 |
| Channelmix: A mixed sample data augmentation strategy for image classification X Cao, HX Zou, XY Ying, RL Li, ST He, F Cheng 2021 6th International Conference on Intelligent Computing and Signal …, 2021 | 2 | 2021 |
| Double-triplet-pseudo-Siamese architecture for remote sensing aircraft target recognition X Cao, HX Zou, XY Ying, RL Li, ST He, F Cheng 2021 International Conference on Computer, Blockchain and Financial …, 2021 | 1 | 2021 |
| OBBInst: Remote sensing instance segmentation with oriented bounding box supervision X Cao, H Zou, J Li, X Ying, S He International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | | 2024 |
| Learning scalable dynamic filter in convolutional networks S Wu, C Xiao, X Ying, L Wang, J Yang, W An Pattern Recognition Letters 176, 83-88, 2023 | | 2023 |
| Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos W An, Z Chen IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61, 5603114, 2023 | | 2023 |
| Using Bilinear-Siamese architecture for remote sensing scene classification X Cao, HX Zou, XY Ying, RL Li, ST He, F Cheng 2021 IEEE International Conference on Artificial Intelligence and Industrial …, 2021 | | 2021 |
| Supplemental Material: Exploring Sparsity in Image Super-Resolution for Efficient Inference L Wang, X Dong, Y Wang, X Ying, Z Lin, W An, Y Guo | | |
Yingqian WangNational University of Defense TechnologyVerified email at nudt.edu.cn
