Longguang Wang
Longguang Wang
Verified email at nudt.edu.cn - Homepage
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
742019
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), 514-529, 2018
302018
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
20*2019
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), 2019
182019
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
162020
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
112020
Deformable 3D Convolution for Video Super-Resolution
X Ying, L Wang, Y Wang, W Sheng, W An, Y Guo
IEEE Signal Processing Letters, 2020
102020
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
102020
Multi-frame image super-resolution with fast upscaling technique
L Wang, Z Lin, X Deng, W An
arXiv preprint arXiv:1706.06266, 2017
62017
Infrared point target detection based on multi-label generative MRF model
L Wang, Z Lin, X Deng
Infrared Physics & Technology 83, 188-194, 2017
62017
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
52020
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
32020
Symmetric Parallax Attention for Stereo Image Super-Resolution
Y Wang, X Ying, L Wang, J Yang, W An, Y Guo
arXiv preprint arXiv:2011.03802, 2020
32020
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
2*2020
Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
L Wang, Y Wang, Z Lin, J Yang, W An, Y Guo
arXiv preprint arXiv:2004.03791, 2020
22020
Fast multi-frame image super-resolution based on MRF
L Wang, Z Lin, X Deng, W An
arXiv preprint, 2017
22017
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
12021
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
12021
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
12020
Fast single image super-resolution based on sigmoid transformation
L Wang, Z Lin, J Gao, X Deng, W An
arXiv preprint arXiv:1708.07029, 2017
12017
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