Longguang Wang 王龙光
I am a Ph.D. student in National University of Defense Technology. Previously, I received my M.Eng degree from National University of Defense Technology in 2017 and B.Eng degree from Shandong University in 2015.
Email /
Google Scholar
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GitHub
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News
[04/2022] One paper (IF-ConvTransformer) was accepted by UbiComp 2022.
[03/2022] Three papers (LLT, PoSFeat, OACC-Net) were accepted by CVPR 2022.
[02/2022] Our paper ''Disentangling Light Fields for Super-Resolution and Disparity Estimation'' was accepted by IEEE TPAMI.
[01/2022] We are organizing NTIRE Stereo Image Super-Resolution Challenge @ CVPR 2022.
[07/2021] One paper (ArbSR) was accepted by ICCV 2021.
[03/2021] Two papers (DASR,
SMSR) were accepted by CVPR 2021.
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NTIRE 2022 Challenge on Stereo Image SR: Methods and Results
Longguang Wang,
Yulan Guo,
Yingqian Wang,
Juncheng Li,
Shuhang Gu,
Radu Timofte
CVPRW, 2022
[Paper]
[Challenge Webpage]
[Project]
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IF-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer
Ye Zhang,
Longguang Wang,
Huiling Chen,
Aosheng Tian,
Shilin Zhou,
Yulan Guo
UbiComp, 2022
[Paper]
[Code]
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Learnable Lookup Table for Neural Network Quantization
Longguang Wang,
Xiaoyu Dong,
Yingqian Wang,
Li Liu,
Wei An,
Yulan Guo
CVPR, 2022
[Paper]
[Code]
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Decoupling Makes Weakly Supervised Local Feature Better
Kunhong Li,
Longguang Wang,
Li Liu,
Qing Ran,
Kai Xu,
Yulan Guo
CVPR, 2022
[Paper]
[Code]
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Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Yingqian Wang,
Longguang Wang,
Zhengyu Liang,
Jungang Yang,
Wei An,
Yulan Guo
CVPR, 2022
[Paper]
[Code]
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Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang,
Longguang Wang,
Gaochang Wu,
Jungang Yang,
Wei An,
Jingyi Yu,
Yulan Guo
IEEE TPAMI, 2022
[Paper]
[Project]
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Learning A Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang,
Yingqian Wang,
Zaiping Lin,
Jungang Yang,
Wei An,
Yulan Guo
ICCV, 2021
[Project],
[Demo],
[Paper],
[Code], [News]
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Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang,
Yingqian Wang,
Xiaoyu Dong,
Qingyu Xu,
Jungang Yang,
Wei An,
Yulan Guo
CVPR, 2021
[Paper],
[Code], [News],
[Video]
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Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang,
Xiaoyu Dong,
Yingqian Wang,
Xinyi Ying,
Zaiping Lin,
Wei An,
Yulan Guo
CVPR, 2021
[Paper],
[Code], [News],
[Video]
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Light Field Image Super-Resolution Using Deformable Convolution
Yingqian Wang,
Jungang Yang,
Longguang Wang,
Xinyi Ying,
Tianhao Wu,
Wei An,
Yulan Guo
IEEE TIP, 2021
[Paper], [Code]
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Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang,
Longguang Wang,
Jungang Yang,
Wei An,
Jingyi Yu,
Yulan Guo
ECCV, 2020
[Paper], [Code], [News]
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Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang,
Yulan Guo,
Yingqian Wang,
Zhengfa Liang,
Zaiping Lin,
Jungang Yang,
Wei An
IEEE TPAMI, 2020
[Paper], [Code],
[News(三维视觉),
(深蓝)],
[Video]
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Deep Video Super-Resolution Using HR Optical Flow Estimation
Longguang Wang,
Yulan Guo,
Li Liu,
Zaiping Lin,
Xinpu Deng,
Wei An
IEEE TIP, 2020
[Paper], [Code], [News]
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DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Yingqian Wang,
Tianhao Wu,
Jungang Yang,
Longguang Wang,
Wei An,
Yulan Guo
WACV, 2020
[Paper], [Code]
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Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang,
Yingqian Wang,
Zhengfa Liang,
Zaiping Lin,
Jungang Yang,
Wei An,
Yulan Guo
CVPR, 2019
[Paper],
[Code], [News],
[Video]
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Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution
Yingqian Wang,
Longguang Wang,
Jungang Yang,
Wei An,
Yulan Guo
ICCVW, 2019
[Paper], [Project]
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Learning for Video Super-Resolution through HR Optical Flow Estimation
Longguang Wang,
Yulan Guo,
Zaiping Lin,
Xinpu Deng,
Wei An
ACCV, 2018
[Paper], [Code]
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