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Recognizing Predictive Substructures With Subgraph Information Bottleneck 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1650-1663
作者:  Yu, Junchi;  Xu, Tingyang;  Rong, Yu;  Bian, Yatao;  Huang, Junzhou;  He, Ran
收藏  |  浏览/下载：1/0  |  提交时间：2024/07/03
Three-dimensional displays  Mutual information  Task analysis  Optimization  Training  Redundancy  Computer vision  Graph convolutional network  subgraph information bottleneck  graph classification  
Vectorized Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15949-15963
作者:  Gao, Junyu;  Chen, Mengyuan;  Xu, Changsheng
收藏  |  浏览/下载：57/0  |  提交时间：2024/03/26
Uncertainty  Location awareness  Reliability  Videos  Noise measurement  Estimation  Deep learning  Weakly-supervised learning  temporal action localization  evidential deep learning  uncertainty estimation  
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15896-15911
作者:  Chen, Mengyuan;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：52/0  |  提交时间：2024/03/26
Uncertainty  Background noise  Task analysis  Location awareness  Measurement uncertainty  Interference  Predictive models  Weakly-supervised temporal action localization  evidential deep learning  uncertainty estimation  
Dual Instance-Consistent Network for Cross-Domain Object Detection 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7338-7352
作者:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：53/0  |  提交时间：2023/11/17
Feature extraction  Object detection  Detectors  Visualization  Proposals  Head  Task analysis  Cross-domain object detection  domain-specific description  dual instance-consistent network  
Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12377-12393
作者:  Wang, Juan;  Yuan, Chunfeng;  Li, Bing;  Deng, Ying;  Hu, Weiming;  Maybank, Stephen
收藏  |  浏览/下载：153/0  |  提交时间：2023/11/16
Blind image inpainting  semantic-discontinuity detection  layout map prediction  pixel generative adversarial network  
Semantic and Temporal Contextual Correlation Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12427-12443
作者:  Fu, Jie;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：112/0  |  提交时间：2023/11/16
Weakly-supervised  video  action localization  semantic  temporal context  correlation learning  
PSGAN plus plus : Robust Detail-Preserving Makeup Transfer and Removal 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 11, 页码: 8538-8551
作者:  Liu, Si;  Jiang, Wentao;  Gao, Chen;  He, Ran;  Feng, Jiashi;  Li, Bo;  Yan, Shuicheng
收藏  |  浏览/下载：251/0  |  提交时间：2022/11/14
Faces  Generative adversarial networks  Task analysis  Visualization  Nose  Image resolution  Skin  Makeup transfer  makeup removal  generative adversarial networks  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：322/9  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
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：440/95  |  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