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Longguang Wang
Longguang Wang
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Title
Cited by
Cited by
Year
Learning parallax attention for stereo image super-resolution
L Wang, Y Wang, Z Liang, Z Lin, J Yang, W An, Y Guo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019 …, 2019
1532019
Unsupervised Degradation Representation Learning for Blind Super-Resolution
L Wang, Y Wang, X Dong, Q Xu, J Yang, W An, Y Guo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021
762021
Spatial-Angular Interaction for Light Field Image Super-Resolution
Y Wang, L Wang, J Yang, W An, J Yu, Y Guo
European Conference on Computer Vision (ECCV 2020), 2019
712019
Learning for video super-resolution through HR optical flow estimation
L Wang, Y Guo, Z Lin, X Deng, W An
Asian Conference on Computer Vision (ACCV 2018), 514-529, 2018
702018
Deep Video Super-Resolution using HR Optical Flow Estimation
L Wang, Y Guo, L Liu, Z Lin, X Deng, W An
IEEE Transactions on Image Processing (TIP) 29, 4323--4336, 2020
652020
Exploring Sparsity in Image Super-Resolution for Efficient Inference
L Wang, X Dong, Y Wang, X Ying, Z Lin, W An, Y Guo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2020
542020
Deformable 3D Convolution for Video Super-Resolution
X Ying, L Wang, Y Wang, W Sheng, W An, Y Guo
IEEE Signal Processing Letters, 2020
532020
Flickr1024: A large-scale dataset for stereo image super-resolution
Y Wang, L Wang, J Yang, W An, Y Guo
IEEE International Conference on Computer Vision Workshops (ICCVW), 0-0, 2019
492019
Parallax Attention for Unsupervised Stereo Correspondence Learning
L Wang, Y Guo, Y Wang, Z Liang, Z Lin, J Yang, W An
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
442020
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
422020
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 (TIP) 30, 1057-1071, 2020
352020
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Y Wang, T Wu, J Yang, L Wang, W An, Y Guo
The IEEE Winter Conference on Applications of Computer Vision (WACV), 118-127, 2020
342020
Learning A Single Network for Scale-Arbitrary Super-Resolution
L Wang, Y Wang, Z Lin, J Yang, W An, Y Guo
IEEE International Conference on Computer Vision (ICCV 2021), 2021
33*2021
Symmetric parallax attention for stereo image super-resolution
Y Wang, X Ying, L Wang, J Yang, W An, Y Guo
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2021
212021
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks
X Dong, L Wang, X Sun, X Jia, L Gao, B Zhang
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
212020
Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification
B Li, Y Guo, J Yang, L Wang, Y Wang, W An
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
142021
Dense nested attention network for infrared small target detection
B Li, C Xiao, L Wang, Y Wang, Z Lin, M Li, W An, Y Guo
arXiv preprint arXiv:2106.00487, 2021
122021
NTIRE 2022 challenge on stereo image super-resolution: Methods and results
L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, L Chen, X Chu, W Yu, ...
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2022
112022
Multi-frame image super-resolution with fast upscaling technique
L Wang, Z Lin, X Deng, W An
arXiv preprint arXiv:1706.06266, 2017
112017
Deep bilateral learning for stereo image super-resolution
Q Xu, L Wang, Y Wang, W Sheng, X Deng
IEEE Signal Processing Letters 28, 613-617, 2021
92021
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