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Publication search results
found 31 matches
- 2024
- Dezhi Kong, Lingjia Gu, Xiaofeng Li, Fang Gao:
Multiscale Residual Dense Network for the Super-Resolution of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- Jing Hu, Tingting Li, Minghua Zhao, Fei Wang, Jiawei Ning:
A Gated Content-Oriented Residual Dense Network for Hyperspectral Image Super-Resolution. Remote. Sens. 15(13): 3378 (2023) - Defu Qiu, Yuhu Cheng, Xuesong Wang:
Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super Resolution. IEEE Trans. Cogn. Dev. Syst. 15(2): 904-913 (2023) - 2022
- Changjun Zou, Lintao Ye:
Cascaded Residual Densely Connected Network for Image Super-Resolution. KSII Trans. Internet Inf. Syst. 16(9): 2882-2903 (2022) - Zheng-Chun Lin, Siyuan Li, Yunzhi Jiang, Jing Wang, Qingxing Luo:
Feedback Multi-scale Residual Dense Network for image super-resolution. Signal Process. Image Commun. 107: 116760 (2022) - Jiacheng Chen, Wanliang Wang, Fangsen Xing, Yutong Qian:
Residual Adaptive Dense Weight Attention Network for Single Image Super-Resolution. IJCNN 2022: 1-10 - 2021
- Zeyu An, Junyuan Zhang, Ziyu Sheng, Xuanhe Er, Junjie Lv:
RBDN: Residual Bottleneck Dense Network for Image Super-Resolution. IEEE Access 9: 103440-103451 (2021) - Yue Zhu, Christian Geiß, Emily So:
Image super-resolution with dense-sampling residual channel-spatial attention networks for multi-temporal remote sensing image classification. Int. J. Appl. Earth Obs. Geoinformation 104: 102543 (2021) - Zhiwei Liu, Ji Huang, Chengjia Zhu, Xiaoyu Peng, Xinyu Du:
Residual attention network using multi-channel dense connections for image super-resolution. Appl. Intell. 51(1): 85-99 (2021) - Dongmei Zhu, Defu Qiu:
Residual dense network for medical magnetic resonance images super-resolution. Comput. Methods Programs Biomed. 209: 106330 (2021) - Jingjun Zhou, Jing Liu, Jingbing Li, Mengxing Huang, Jieren Cheng, Yen-Wei Chen, Yingying Xu, Saqib Ali Nawaz:
Mixed Attention Densely Residual Network for Single Image Super-Resolution. Comput. Syst. Sci. Eng. 39(1): 133-146 (2021) - Feilong Cao, Baijie Chen:
Densely connected network with improved pyramidal bottleneck residual units for super-resolution. J. Vis. Commun. Image Represent. 74: 102963 (2021) - Jiaojiao Qiao, Huihui Song, Kaihua Zhang, Xiaolu Zhang:
Conditional generative adversarial network with densely-connected residual learning for single image super-resolution. Multim. Tools Appl. 80(3): 4383-4397 (2021) - Yan Lv, Hui Ma, Jianian Li, Shuangcai Liu:
Fusing dense and ReZero residual networks for super-resolution of retinal images. Pattern Recognit. Lett. 149: 120-129 (2021) - Denghong Liu, Jie Li, Qiangqiang Yuan:
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 59(9): 7711-7725 (2021) - Minglong Xue, Zhiheng Huang, Ruo-Ze Liu, Tong Lu:
A Novel Attention Enhanced Residual-In-Residual Dense Network for Text Image Super-Resolution. ICME 2021: 1-6 - Wen Zhao:
Adaptive Densely Residual Network for Image Super-Resolution. ICPCSEE (1) 2021: 339-349 - 2020
- Jiayv Qin, Xianfang Sun, Yitong Yan, Longcun Jin, Xinyi Peng:
Multi-Resolution Space-Attended Residual Dense Network for Single Image Super-Resolution. IEEE Access 8: 40499-40511 (2020) - M. Haitham, Alaa Zaghloul, Mostafa AbdEl-Azeem:
RDB-FSU: Residual Dense Network with Feature Selection Unit for Image Super Resolution. AICV 2020: 501-510 - 2019
- Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng:
Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution. IEEE Access 7: 60572-60583 (2019) - Wei Wang, Yongbin Jiang, Yanhong Luo, Ji Li, Xin Wang, Tong Zhang:
An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution. Int. J. Comput. Intell. Syst. 12(2): 1592-1601 (2019) - Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops 2019: 3643-3650 - Ding Qin, Xiaodong Gu:
Deep Residual-Dense Attention Network for Image Super-Resolution. ICONIP (5) 2019: 3-10 - Manoj Sharma, Avinash Upadhyay, Ajay Pratap Singh, Megh Makwana, Swati Bhugra, Brejesh Lall, Santanu Chaudhury, Deepak Mishra, Anil K. Saini:
Gradually Growing Residual and Self-attention Based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image. PReMI (1) 2019: 260-268 - Qiaosong Chen, Jinxin Li, Bolin Duan, Liu Pu, Xin Deng, Jin Wang:
Residual Dense Information Distillation Network for Single Image Super-Resolution. SMC 2019: 500-505 - Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR abs/1911.08711 (2019) - 2018
- Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CVPR 2018: 2472-2481 - Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution. ECCV Workshops (5) 2018: 132-149 - Jiu Xu, Yeongnam Chae, Björn Stenger, Ankur Datta:
Dense Bynet: Residual Dense Network for Image Super Resolution. ICIP 2018: 71-75 - Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CoRR abs/1802.08797 (2018)
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