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:104/14  |  提交时间:2024/01/17
Single-image super-resolution  Multi-scale loss functions  Image visual perception  Perceptual metrics  
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:119/10  |  提交时间:2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载:301/58  |  提交时间:2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载:299/71  |  提交时间:2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
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:186/48  |  提交时间:2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:  Zhang, Xinbang;  Huang, Zehao;  Wang, Naiyan;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载:288/56  |  提交时间:2021/11/02
Computer architecture  Optimization  Learning (artificial intelligence)  Task analysis  Acceleration  Evolutionary computation  Convolution  Neural architecture search(NAS)  convolution neural network  sparse optimization  
Extracting Effective Image Attributes with Refined Universal Detection 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 16
作者:  Yu, Qiang;  Xiao, Xinyu;  Zhang, Chunxia;  Song, Lifei;  Pan, Chunhong
Adobe PDF(2391Kb)  |  收藏  |  浏览/下载:325/58  |  提交时间:2021/03/01
attribute extraction  Refined Universal Detection  word tree  image captioning  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载:251/90  |  提交时间:2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
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:351/67  |  提交时间:2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载:413/90  |  提交时间:2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning