A Stereo Attention Module for Stereo Image Super-Resolution
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Weidong Sheng | Yulan Guo | Longguang Wang | Yingqian Wang | Wei An | Xinyi Ying | Yulan Guo | Longguang Wang | Yingqian Wang | W. An | Weidong Sheng | Xinyi Ying
[1] Kyung-Ah Sohn,et al. Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network , 2018, ECCV.
[2] Narendra Ahuja,et al. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[4] Xiangdong Huang,et al. A Novel Multiconnected Convolutional Network for Super-Resolution , 2018, IEEE Signal Processing Letters.
[5] Tong Tong,et al. Image Super-Resolution Using Dense Skip Connections , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Andreas Geiger,et al. Object scene flow for autonomous vehicles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] Wei An,et al. Learning Parallax Attention for Stereo Image Super-Resolution , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[10] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Lei Wang,et al. Image Superresolution Using Densely Connected Residual Networks , 2018, IEEE Signal Processing Letters.
[13] Seung-Hwan Baek,et al. Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Aline Roumy,et al. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding , 2012, BMVC.
[15] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jian Yang,et al. Image Super-Resolution via Deep Recursive Residual Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Xi Wang,et al. High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth , 2014, GCPR.
[18] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[19] Eirikur Agustsson,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[20] Narendra Ahuja,et al. Single image super-resolution from transformed self-exemplars , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Baoxin Li,et al. Single Image Super Resolution Using Joint Regularization , 2018, IEEE Signal Processing Letters.
[22] Kyoung Mu Lee,et al. Deeply-Recursive Convolutional Network for Image Super-Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Wei Chen,et al. Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[25] Yun Fu,et al. Residual Dense Network for Image Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.