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CASIA OpenIR
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Patch Loss: A generic multi-scale perceptual loss for single image super-resolution 期刊论文
Pattern Recognition, 2023, 卷号: 139, 页码: 109510
作者:  An T(安泰);  Mao BJ(毛彬杰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(5876Kb)  |  收藏  |  浏览/下载：92/13  |  提交时间：2024/01/17
Single-image super-resolution  Multi-scale loss functions  Image visual perception  Perceptual metrics  
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：64/7  |  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：90/8  |  提交时间：2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：174/45  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6348Kb)  |  收藏  |  浏览/下载：332/61  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者:  Meng, Gaofeng;  Pan, Chunhong;  Xiang, Shiming;  Wu, Ying
浏览  |  Adobe PDF(15645Kb)  |  收藏  |  浏览/下载：213/45  |  提交时间：2020/06/02
Estimation  Image segmentation  Layout  Distortion  Strips  Image quality  Degradation  Document image processing  curved baselines extraction  slope fields recovery  geometric distortion rectification  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：433/101  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：315/69  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：418/108  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
作者:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(3081Kb)  |  收藏  |  浏览/下载：487/183  |  提交时间：2019/05/15
Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling