Longguang Wang 王龙光
I received my Ph.D. degree from National University of Defense Technology in 2022 and B.Eng degree from Shandong University in 2015. My current research interests include low-level vision and 3D vision.
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News
[07/2024] One paper (Tangram-Splatting) was accepted by ACM MM 2024.
[07/2024] Three papers (MemE-3DGS/NeRF, FormerStereo and AEDNet) were accepted by ECCV 2024.
[05/2024] Our paper ''Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds'' was accepted by IEEE TPAMI.
[04/2024] Our paper ''A Systematic Survey of Deep Learning-based Single-Image Super-Resolution'' was accepted by ACM Computing Surveys.
[03/2024] Two papers (DictSR and LoS) were accepted by CVPR 2024.
[03/2024] Our paper ''Learning Spherical Radiance Field for Efficient 360° Unbounded Novel View Synthesis'' was accepted by IEEE TIP.
[01/2024] One paper (ACRF) was accepted by ICLR 2024.
[08/2023] Our paper ''3D Face Recognition: Two Decades of Progress and Prospects'' was accepted by ACM Computing Surveys.
[07/2023] Our paper ''Lightweight Pixel Difference Networks for Efficient Visual Representation Learning'' was accepted by IEEE TPAMI.
[07/2023] Five papers were accepted by ICCV 2023.
[02/2023] One paper (PointCMP) was accepted by CVPR 2023.
[01/2023] We are organizing NTIRE Stereo Image SR Challenge and NTIRE Light Field Image SR Challenge @ CVPR 2023.
[12/2022] We are organizing a Special Issue "Advanced Image Restoration and Enhancement in the Wild" on IET Computer Vision.
[07/2022] Our paper ''Dense Nested Attention Network for Infrared Small Target Detection'' was accepted by IEEE TIP.
[07/2022] Our paper ''Exploring Fine-Grained Sparsity in CNNs for Efficient Inference'' was accepted by IEEE TPAMI.
[07/2022] One paper (MMSR) was accepted by ECCV 2022.
[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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ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Guangchi Fang,
Qingyong Hu,
Longguang Wang,
Yulan Guo*
ICLR 2024
[Paper]
[Code]
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Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Zhuo Su,
Jiehua Zhang,
Longguang Wang,
Hua Zhang,
Zhen Liu,
Matti Pietikäinen,
Li Liu*
IEEE TPAMI, 2023
[Paper]
[Code]
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VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
Zhiheng Fu,
Longguang Wang,
Lian Xu,
Yulan Guo,
Hamid Laga,
Zhiyong Wang,
Farid Boussaid,
Mohammed Bennamoun*
ICCV, 2023
[Paper]
[Code]
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Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen,
Xiaoxiao Sheng,
Hehe Fan,
Longguang Wang,
Yulan Guo,
Qiong Liu,
Hao Wen,
Xi Zhou
ICCV, 2023
[Paper]
[Code]
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Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
Xiaoxiao Sheng,
Zhiqiang Shen,
Gang Xiao,
Longguang Wang,
Yulan Guo,
Hehe Fan
ICCV, 2023
[Paper]
[Code]
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Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Zhengyu Liang,
Yingqian Wang,
Longguang Wang,
Jungang Yang*,
Shilin Zhou,
Yulan Guo,
ICCV, 2023
[Paper]
[Code]
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Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Boyang Li,
Yingqian Wang,
Longguang Wang,
Fei Zhang,
Ting Liu,
Zaiping Lin,
Wei An,
Yulan Guo*,
ICCV, 2023
[Paper]
[Project]
[Code]
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PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen,
Xiaoxiao Sheng,
Longguang Wang*,
Yulan Guo,
Qiong Liu,
Xi Zhou
CVPR, 2023
[Paper]
[Code]
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Dense Nested Attention Network for Infrared Small Target Detection
Boyang Li,
Chao Xiao,
Longguang Wang,
Yingqian Wang,
Zaiping Lin,
Miao Li,
Wei An,
Yulan Guo
IEEE TIP, 2022
[Paper]
[Code]
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Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference
Longguang Wang,
Yulan Guo*,
Xiaoyu Dong,
Yingqian Wang,
Xinyi Ying,
Zaiping Lin,
Wei An
IEEE TPAMI, 2022
[Paper]
[Code]
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Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
Xiaoyu Dong,
Naoto Yokoya*,
Longguang Wang,
Tatsumi Uezato
ECCV, 2022
[Paper]
[Code]
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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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NTIRE 2024 Challenge on Stereo Image SR @ CVPR 2024
Longguang Wang,
Yulan Guo,
Yingqian Wang,
Juncheng Li,
Zhi Jin,
Shuhang Gu,
Radu Timofte
[Webpage]
[Project]
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NTIRE 2024 Challenge on Light Field Image SR @ CVPR 2024
Yingqian Wang,
Longguang Wang,
Zhengyu Liang,
Jungang Yang,
Yulan Guo,
Radu Timofte
[Webpage]
[Project]
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NTIRE 2023 Challenge on Light Field Image SR @ CVPR 2023
Yingqian Wang,
Longguang Wang,
Zhengyu Liang,
Jungang Yang,
Radu Timofte,
Yulan Guo
[Webpage]
[Project]
[Challenge Paper]
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