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Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1311-1327
作者:  Yin, Yanting;  Wu, Yajing;  Yang, Xuebing;  Zhang, Wensheng;  Yuan, Xiaojie
收藏  |  浏览/下载:29/0  |  提交时间:2024/05/30
Noise measurement  Feature extraction  Task analysis  Superresolution  Data mining  Predictive models  Information processing  Temporal link prediction  dynamic graphs  super-resolution  conditional normalizing flow  
Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images 期刊论文
Remote Sensing, 2023, 卷号: 15, 页码: 1827
作者:  An T(安泰);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(14935Kb)  |  收藏  |  浏览/下载:105/15  |  提交时间:2024/01/17
scale-arbitrary super-resolution  image representation  satellite imagery  
TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388
作者:  An T(安泰);  Zhang X(张鑫);  Huo CL(霍春雷);  Xue B(薛斌);  Wang LF(汪凌峰);  Pan CH(潘春洪)
Adobe PDF(6058Kb)  |  收藏  |  浏览/下载:145/16  |  提交时间:2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
End-to-End Alternating Optimization for Real-World Blind Super Resolution 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 18
作者:  Luo, Zhengxiong;  Huang, Yan;  Li, Shang;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:75/0  |  提交时间:2023/11/17
Blind super resolution  Degradation estimation  Alternating optimization  Restorer  Estimator  
Seismic Random Noise Suppression Model Based on Downsampling and Superresolution 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14
作者:  Fang, Ziyi;  Lin, Hongbo;  Sun, Fuyao;  Song, Xue;  Zhang, Chao;  Wang, Bo
收藏  |  浏览/下载:29/0  |  提交时间:2023/11/17
Noise reduction  Superresolution  Image restoration  Generators  Data models  Complexity theory  Signal resolution  Seismic exploration  seismic random noise  seismic signal denoising  superresolution (SR)  
Joint Defocus Deblurring and Superresolution Learning Network for Autonomous Driving 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 12
作者:  Wang, Rui;  Zhang, Chunjie;  Zheng, Xiaolong;  Lv, Yisheng;  Zhao, Yao
收藏  |  浏览/下载:125/0  |  提交时间:2023/11/16
Task analysis  Image reconstruction  Autonomous vehicles  Superresolution  Cameras  Visualization  Transformers  
Deep convolution network for surveillance records super-resolution 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 17, 页码: 23815-23829
作者:  Shamsolmoali, Pourya;  Zareapoor, Masoumeh;  Jain, Deepak Kumar;  Jain, Vinay Kumar;  Yang, Jie
收藏  |  浏览/下载:217/0  |  提交时间:2019/12/16
Super-resolution  Convolution neural networks  Surveillance records  Deep learning  
Synthesizing cloth wrinkles by CNN-based geometry image superresolution 期刊论文
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2018, 卷号: 29, 期号: 3-4
作者:  Chen, Lan;  Ye, Juntao;  Jiang, Liguo;  Ma, Chengcheng;  Cheng, Zhanglin;  Zhang, Xiaopeng
Adobe PDF(850Kb)  |  收藏  |  浏览/下载:533/140  |  提交时间:2018/10/10
Cloth Animation  Data-driven  Deep Learning  Geometry Image  Wrinkle Synthesis  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载:364/32  |  提交时间:2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Video super-resolution based on spatial-temporal recurrent residual networks 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2018, 卷号: 168, 页码: 79-92
作者:  Yang, Wenhan;  Feng, Jiashi;  Xie, Guosen;  Liu, Jiaying;  Guo, Zongming;  Yan, Shuicheng
收藏  |  浏览/下载:221/0  |  提交时间:2018/10/10
Spatial Residue  Temporal Residue  Video Super-resolution  Inter-frame Motion Context  Intra-frame Redundancy