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.

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News

  • [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 Convolutional Neural Networks 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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    Publications & Preprints
    		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]


    		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]


    		Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

    Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato

    ECCV, 2022

    [Paper] [Code]


    		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]


    		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]


    		Learnable Lookup Table for Neural Network Quantization

    Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo

    CVPR, 2022

    [Paper] [Code]


    		Decoupling Makes Weakly Supervised Local Feature Better

    Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo

    CVPR, 2022

    [Paper] [Code]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		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]


    		Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution

    Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo

    ICCVW, 2019

    [Paper], [Project]


    		Learning for Video Super-Resolution through HR Optical Flow Estimation

    Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An

    ACCV, 2018

    [Paper], [Code]