Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Kim, Jiwon, Lee, Jung Kwon, Lee, Kyoung Mu·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2016.182

Cited by (1,010)

Items 601–700 of 1,010

  1. Fixed pattern noise reduction for infrared images based on cascade residual attention CNN
    Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu · 2019 · Neurocomputing
  2. Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution
    Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  3. Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
    Yu-Jhe Li, Yunchun Chen, Yen‐Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  4. A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard
    Anna Brook, Veronica De Micco, Giovanna Battipaglia, Arturo Erbaggio, Giovanni Ludeno, Ilaria Catapano, Antonello Bonfante · 2020 · Remote Sensing of Environment
  5. Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction
    Zhen Chen, Xiaoqing Guo, Peter Y. M. Woo, Yixuan Yuan · 2021 · IEEE Transactions on Medical Imaging
  6. Context Reasoning Attention Network for Image Super-Resolution
    Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  7. Terrain feature-aware deep learning network for digital elevation model superresolution
    Yifan Zhang, Wenhao Yu, Di Zhu · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
  8. Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks
    Pengfei Xiao, Yecai Guo, Peixian Zhuang · 2018 · IEEE photonics journal
  9. Improving Quality of Experience by Adaptive Video Streaming with Super-Resolution
    Yinjie Zhang, Yuanxing Zhang, Yi Jie Wu, Yu Tao, Kaigui Bian, Pan Zhou, Lingyang Song, Hu Tuo · 2020 · IEEE Conference on Computer Communications (INFOCOM)
  10. Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms.
    Jian He, Li-Min Zhang, T. Xiao, Hao-Jie Wang, Hong-Yu Luo · 2023 · Water Research
  11. TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution
    Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, Ting‐Li Chen, Bin Sheng · 2023 · The Visual Computer
  12. Video Superresolution via Motion Compensation and Deep Residual Learning
    Dingyi Li, Zengfu Wang · 2017 · IEEE Transactions on Computational Imaging
  13. Deep Residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution
    Jun Gu, Xian Sun, Yue Zhang, Kun Fu, Lei Wang · 2019 · Remote Sensing
  14. Wavelet-based residual attention network for image super-resolution
    Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin · 2019 · Neurocomputing
  15. Estimation of ambient light and transmission map with common convolutional architecture
    Young-Sik Shin, Younggun Cho, Gaurav Pandey, Ayoung Kim · 2016 · MTS/IEEE OCEANS Conference (OCEANS)
  16. Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks
    M. Shahzeb Khan Gul, Bahadir K. Gunturk · 2018 · IEEE Transactions on Image Processing
  17. Image super-resolution via channel attention and spatial graph convolutional network
    Yue Yang, Yong Qi · 2020 · Pattern Recognition
  18. CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
    Zhetong Liang, Jianrui Cai, Zisheng Cao, Lei Zhang A · 2021 · IEEE Transactions on Image Processing
  19. KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment
    Soo Ye Kim, Hyeonjun Sim, Munchurl Kim · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  20. End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution
    Wenzhu Xing, Karen Egiazarian · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  21. Artificial Intelligence-Based Image Enhancement in PET Imaging
    Juan Liu, Masoud Malekzadeh, Niloufar Mirian, Tzu-An Song, Chi Liu, Joyita Dutta · 2021 · PET Clinics
  22. NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
    Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou et al. · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  23. A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction
    Changzhong Wang, Xiang Lv, Mingwen Shao, Yuhua Qian, Yang Zhang · 2022 · Information Sciences
  24. FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution
    Jian Lin Zhu, Qingwu Zhang, Lunke Fei, Ruichu Cai, Yuan Xie, Bin Sheng, Xiaokang Yang · 2022 · IEEE Transactions on Multimedia
  25. PU-Transformer: Point Cloud Upsampling Transformer
    Shi Qiu, Saeed Anwar, Nick M. Barnes · 2023 · Lecture notes in computer science
  26. Time-Frequency Networks for Audio Super-Resolution
    Teck Yian Lim, Raymond A. Yeh, Yijia Xu, Minh N. Do, Mark Hasegawa‐Johnson · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
  27. Visual Quality Assessment for Super-Resolved Images: Database and Method
    Fei Zhou, Rongguo Yao, Bozhi Liu, Guoping Qiu · 2019 · IEEE Transactions on Image Processing
  28. Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization
    Weiying Xie, Xiuping Jia, Yunsong Li, Jie Lei · 2019 · IEEE Transactions on Geoscience and Remote Sensing
  29. Fast Adaptation to Super-Resolution Networks via Meta-learning
    Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim · 2020 · Lecture notes in computer science
  30. Residual Invertible Spatio-Temporal Network for Video Super-Resolution
    Xiaobin Zhu, Zhuangzi Li, Xiaoyu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  31. Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination
    Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan · 2019 · International Journal of Computer Vision
  32. Deep Back-ProjectiNetworks for Single Image Super-Resolution
    Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  33. Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial–Spectral Consistency Regularization
    Xinya Wang, Jiayi Ma, Junjun Jiang · 2021 · IEEE Transactions on Geoscience and Remote Sensing
  34. Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution
    Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jiantao Zhou, Jian Jun Yang, Guo-Jun Qi · 2023 · IEEE Transactions on Multimedia
  35. Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution
    Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu · 2023 · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
  36. Light-Field Image Superresolution Using a Combined Deep CNN Based on EPI
    Yan Yuan, Ziqi Cao, Lijuan Su · 2018 · IEEE Signal Processing Letters
  37. NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
    Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang A, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen et al. · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  38. Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution
    Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  39. Fast infrared and visible image fusion with structural decomposition
    Hui Li, Xianbiao Qi, Wuyuan Xie · 2020 · Knowledge-Based Systems
  40. Omniscient Video Super-Resolution
    Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lü, Xin Shou Tian, Jiayi Ma · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  41. Self-attention negative feedback network for real-time image super-resolution
    Xiangbin Liu, Shuqi Chen, Liping Song, Marcin Woźniak, Shuai Liu · 2021 · Journal of King Saud University - Computer and Information Sciences
  42. Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
    Zheming Zuo, Matthew Watson, David Budgen, Robert Hall, Chris Kennelly, Noura Al Moubayed · 2021 · JMIR Medical Informatics
  43. Towards efficient and scale-robust ultra-high-definition image demoiréing
    Yu, Xin, Dai, Peng, Li, Wenbo, Ma, Lan, Shen, Jiajun, Li, Jia, Qi, Xiaojuan · 2022 · Lecture Notes in Computer Science
  44. Transform- and multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging
    Shaowei Jiang, Jun Bi Liao, Zichao Bian, Kaikai Guo, Yongbing Zhang, Guoan Zheng · 2018 · Biomedical Optics Express
  45. ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
    Yan Yang, Jian Zhong Sun, Huibin Li, Zongben Xu · 2017 · arXiv (Cornell University)
  46. Ocean Color Hyperspectral Remote Sensing With High Resolution and Low Latency—The HYPSO-1 CubeSat Mission
    Grotte, Mariusz E., Birkeland, Roger, Honore-Livermore, Evelyn, Bakken, Sivert, Garrett, Joseph L., Prentice, Elizabeth F., Sigernes, Fred, Orlandic, Milica, Gravdahl, J. Tommy, Johansen, Tor A. · 2022 · IEEE Transactions on Geoscience and Remote Sensing
  47. Deep Universal Generative Adversarial Compression Artifact Removal
    Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo · 2019 · IEEE Transactions on Multimedia
  48. TOM-Net: Learning Transparent Object Matting from a Single Image
    Guanying Chen, Kai Han, Kwan-Yee K. Wong · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  49. Blind image super-resolution with spatially variant degradations
    Victor Cornillère, Abdelaziz Djelouah, Yifan Wang, Olga Sorkine‐Hornung, Christopher Schroers · 2019 · ACM Transactions on Graphics
  50. Data-Free Knowledge Distillation For Image Super-Resolution
    Zhang Yiman, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  51. VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
    Liangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  52. Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution
    Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao · 2022 · International Journal of Computer Vision
  53. HAT: Hybrid Attention Transformer for Image Restoration
    Xiangyu Chen, Xintao Wang, Wenlong Zhang, Xiangtao Kong, Yu Qiao, Jiantao Zhou, Chao Dong · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  54. Simultaneous color-depth super-resolution with conditional generative adversarial networks
    Lijun Zhao, Huihui Bai, Jie Liang, Bing Zeng, Anhong Wang, Yao Zhao · 2018 · Pattern Recognition
  55. A joint deep learning model to recover information and reduce artifacts in missing-wedge sinograms for electron tomography and beyond
    Guanglei Ding, Yitong Liu, Rui Zhang, Huolin L. Xin · 2019 · Scientific Reports
  56. Ultra-dense GAN for satellite imagery super-resolution
    Zhongyuan Wang, Kui Jiang, Peng Yi, Zhen Han, Zheng He · 2019 · Neurocomputing
  57. Joint Camera Spectral Response Selection and Hyperspectral Image Recovery
    Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  58. Best-Buddy GANs for Highly Detailed Image Super-resolution
    Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  59. Single image super-resolution based on a modified U-net with mixed gradient loss
    Zhengyang Lu, Ying Chen · 2021 · Signal Image and Video Processing
  60. 3D building reconstruction from single street view images using deep learning
    Hui En Pang, Filip Biljecki · 2022 · International Journal of Applied Earth Observation and Geoinformation
  61. Task-Aware Image Downscaling
    Heewon Kim, Myungsub Choi, Bee Oh Lim, Kyoung Mu Lee · 2018 · Lecture notes in computer science
  62. Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network
    Feng Ling, Doreen S. Boyd, Yong Ge, Giles M. Foody, Xiaodong Li, Lihui Wang, Yihang Zhang, Lingfei Shi, Cheng Shang, Xinyan Li et al. · 2019 · Water Resources Research
  63. DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution
    Xiang Li, Jiangxin Dong, Jinhui Tang, Jinshan Pan · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  64. Convolutional Neural Network-Based Fractional-Pixel Motion Compensation
    Ning Yan, Dong Liu, Houqiang Li, Bin Li, Li Li, Feng Wu · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
  65. MRFN: Multi-Receptive-Field Network for Fast and Accurate Single Image Super-Resolution
    Zewei He, Yanpeng Cao, Lei Du, Baobei Xu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yueting Zhuang · 2019 · IEEE Transactions on Multimedia
  66. Deep Learning Based Single Image Super-resolution: A Survey
    Viet Khanh Ha, Jinchang Ren, Xin-Ying Xu, Sophia J. Zhao, Gang Xie, Valentín Masero, Amir Hussain · 2019 · Machine Intelligence Research
  67. Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network
    Xibin Song, Yuchao Dai, Xueying Qin · 2017 · Lecture notes in computer science
  68. Low-light image enhancement using CNN and bright channel prior
    Tao Li, Chuang Zhu, Jiawen Song, Tao Lu, Huizhu Jia, Xiaodong Xie · 2017 · Proceedings - International Conference on Image Processing
  69. Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
    Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu‐Wing Tai, In So Kweon · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  70. Single image super-resolution with dilated convolution based multi-scale information learning inception module
    Wuzhen Shi, Feng Jiang, Debin Zhao · 2017 · Proceedings - International Conference on Image Processing
  71. Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
    Mustafa Ayazoğlu · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  72. 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN
    Kang Li, Bin Tang, Jianjun Huang, Jianping Li · 2024 · Computer Methods and Programs in Biomedicine
  73. MobiSR
    Royson Lee, Stylianos I. Venieris, Łukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane · 2019 · ACM Annual International Conference on Mobile Computing and Networking (MobiCom)
  74. PAMS: Quantized Super-Resolution via Parameterized Max Scale
    Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji · 2020 · Lecture notes in computer science
  75. MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
    Kiyeon Kim, Seungyong Lee, Sunghyun Cho · 2023 · Lecture notes in computer science
  76. Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
    Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang A, Deyu Meng, Kwan-Yee K. Wong · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  77. Notice of Violation of IEEE Publication Principles: Single-Image Super-Resolution Algorithm Based on Structural Self-Similarity and Deformation Block Features
    Yuantao Chen, Jin Wang, Xi Chen, Mingwei Zhu, Kai Yang, Zhi Wang, Runlong Xia · 2019 · IEEE Access · Retracted
  78. Super-Resolution PET Imaging Using Convolutional Neural Networks
    Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Joyita Dutta · 2020 · IEEE Transactions on Computational Imaging
  79. Watermarking Deep Neural Networks in Image Processing
    Yuhui Quan, Huan Teng, Yixin Chen, Hui Ji · 2020 · IEEE Transactions on Neural Networks and Learning Systems
  80. Wavelet-Based Deep Auto Encoder-Decoder (WDAED)-Based Image Compression
    Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
  81. Consistent Video Style Transfer via Relaxation and Regularization
    Wenjing Wang, Shuai Yang, Jizheng Xu, Jiaying Liu · 2020 · IEEE Transactions on Image Processing
  82. Learning Frequency Domain Priors for Image Demoireing
    Bolun Zheng, Shanxin Yuan, Chenggang Clarence Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Aleš Leonardis, Greg Slabaugh · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  83. FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI
    Leonie Henschel, David Kügler, Martin Reuter · 2022 · NeuroImage
  84. Convolutional low-resolution fine-grained classification
    Dingding Cai, Ke Chen, Yanlin Qian, Joni‐Kristian Kämäräinen · 2017 · Pattern Recognition Letters
  85. Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition
    Yi Chang, Luxin Yan, Meiya Chen, Houzhang Fang, Sheng Zhong · 2019 · IEEE Transactions on Instrumentation and Measurement
  86. HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss
    Shuang Xu, Ouafa Amira, Junmin Liu, Chunxia Zhang, Jiangshe Zhang, Guanghai Li · 2020 · IEEE Transactions on Geoscience and Remote Sensing
  87. Deep learning methods for solving linear inverse problems: Research directions and paradigms
    Yanna Bai, Wei Ren Chen, Jie Chen, Weisi Guo · 2020 · Signal Processing
  88. Video Compression Based on Spatio-Temporal Resolution Adaptation
    Mariana Afonso, Fan Zhang, David Bull · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
  89. AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
    Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Michael Zhu, Xiangyu He, Wenjie Xu et al. · 2020 · Lecture notes in computer science
  90. Cross-SRN: Structure-Preserving Super-Resolution Network With Cross Convolution
    Yuqing Liu, Qi Jia, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
  91. Deep Learning-Based Single-Image Super-Resolution: A Comprehensive Review
    Karansingh Chauhan, Shail Nimish Patel, Malaram Kumhar, Jitendra Bhatia, Sudeep Tanwar, Innocent E. A. Davidson, Thokozile Fortunate Mazibuko, Ravi Sharma · 2023 · IEEE Access
  92. CAMixerSR: Only Details Need More “Attention”
    Yan Wang, Yi Liu, Shijie Zhao, Junlin Li, Li Zhang · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  93. Image Super-Resolution via Attention Based Back Projection Networks
    Zhi-Song Liu, Liwen Wang, Chu-Tak Li, Wan-Chi Siu, Yui‐Lam Chan · 2019 · IEEE International Conference on Computer Vision Workshops
  94. Enhanced generative adversarial network for 3D brain MRI super-resolution
    Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee · 2020 · IEEE Winter Conference on Applications of Computer Vision
  95. Old Photo Restoration via Deep Latent Space Translation
    Ziyu Wan, Bo Zhang, Dong Chen, Pan Zhang, Dong Chen, Fang Wen, Jing Liao · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  96. Fluid Micelle Network for Image Super-Resolution Reconstruction
    Mingjin Zhang, Qianqian Wu, Jing Zhang, Xinbo Gao, Jie Guo, Dacheng Tao · 2022 · IEEE Transactions on Cybernetics
  97. Integrated Model, Batch, and Domain Parallelism in Training Neural Networks
    Amir Gholami, Ariful Azad, Peter Jin, Kurt Keutzer, Aydın Buluç · 2018 · ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)
  98. DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
    Honggang Chen, Xiaohai He, Linbo Qing, Shuhua Xiong, Truong Q. Nguyen · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  99. Total Deep Variation for Linear Inverse Problems
    Erich Kobler, Alexander Effland, Karl K. Kunisch, Thomas Pock · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  100. A residual convolutional neural network for polarimetric SAR image super-resolution
    Huanfeng Shen, Liupeng Lin, Jie Li, Qiangqiang Yuan, Lingli Zhao · 2020 · ISPRS Journal of Photogrammetry and Remote Sensing