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GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：77/21  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Xiao, Jun;  Zhang, Xiaopeng
Adobe PDF(4178Kb)  |  收藏  |  浏览/下载：147/12  |  提交时间：2023/12/21
Detailed representation transfer  lung nodules segmentation  medical images segmentation  soft mask  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：64/5  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
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：46/1  |  提交时间：2023/11/17
Consistency regularization  Object detection  Domain adaptation  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：272/156  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
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：179/2  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：451/38  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
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：336/55  |  提交时间：2022/09/19
Stereo Matching  Domain adaptation  Point-wise linear transformation  Adversarial learning  
Navigating Diverse Salient Features for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 10
作者:  Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：312/60  |  提交时间：2022/09/19
Navigation  Task analysis  Image color analysis  Boosting  Feature extraction  Benchmark testing  Space vehicles  Vehicle re-identification  suppress-and-explore mode  grid-based salient navigation  cross-space constraints  
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：381/78  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention