CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共13条,第1-10条 帮助

限定条件                                
已选(0)清除 条数/页:   排序方式:
Efficient Remote Sensing Image Super-Resolution via Lightweight Diffusion Models 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2024, 卷号: 21, 页码: 1-5
作者:  An T(安泰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(30422Kb)  |  收藏  |  浏览/下载:154/31  |  提交时间:2024/01/17
Remote sensing super-resolution  lightweight diffusion models  cross-attention mechanism  satellite imagery  
Multi-level consistency regularization for domain adaptive object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 18003–18018
作者:  Tian, Kun;  Zhang, Chenghao;  Wang, Ying;  Xiang, Shiming
Adobe PDF(2628Kb)  |  收藏  |  浏览/下载:54/5  |  提交时间:2023/11/17
Consistency regularization  Object detection  Domain adaptation  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载:208/13  |  提交时间:2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Learning adversarial point-wise domain alignment for stereo matching 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 564-574
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Xu, Richard Yi Da;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3885Kb)  |  收藏  |  浏览/下载:382/58  |  提交时间:2022/09/19
Stereo Matching  Domain adaptation  Point-wise linear transformation  Adversarial learning  
Task-aware adaptive attention learning for few-shot semantic segmentation 期刊论文
NEUROCOMPUTING, 2022, 卷号: 494, 页码: 104-115
作者:  Mao, Binjie;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3903Kb)  |  收藏  |  浏览/下载:326/78  |  提交时间:2022/09/19
Few-shot semantic segmentation  Adaptive feature learning  Attention mechanism  Task-aware  
TVGCN: Time-variant graph convolutional network for traffic forecasting 期刊论文
NEUROCOMPUTING, 2022, 卷号: 471, 页码: 118-129
作者:  Wang, Yuhu;  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(2050Kb)  |  收藏  |  浏览/下载:232/7  |  提交时间:2022/06/06
Spatial-temporal correlation  Graph convolutional network  Traffic forecasting  
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:216/53  |  提交时间:2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:  Zhang, Xinbang;  Chang, Jianlong;  Guo, Yiwen;  Meng, Gaofeng;  Xiang, Shiming;  Lin, Zhouchen;  Pan, Chunhong
Adobe PDF(1346Kb)  |  收藏  |  浏览/下载:344/56  |  提交时间:2021/11/02
Computer architecture  Search problems  Optimization  Task analysis  Bridges  Binary codes  Estimation  Neural architecture search(NAS)  ensemble gumbel-softmax  distribution guided sampling  
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:331/68  |  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  
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:287/100  |  提交时间:2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal