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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：79/0  |  提交时间：2023/11/16
Blind image inpainting  semantic-discontinuity detection  layout map prediction  pixel generative adversarial network  
Hierarchical Curriculum Learning for No-Reference Image Quality Assessment 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 20
作者:  Wang, Juan;  Chen, Zewen;  Yuan, Chunfeng;  Li, Bing;  Ma, Wentao;  Hu, Weiming
收藏  |  浏览/下载：67/0  |  提交时间：2023/11/17
No-reference image quality assessment  Hierarchical curriculum learning  Prior knowledge  Cross-dataset quality assessment correlation  
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文
PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52
作者:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming
收藏  |  浏览/下载：143/0  |  提交时间：2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：185/23  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:  Ding, Xinmiao;  Li, Bing;  Li, Yangxi;  Guo, Wen;  Liu, Yao;  Xiong, Weihua;  Hu, Weiming
收藏  |  浏览/下载：238/0  |  提交时间：2021/04/27
Feature extraction  Prototypes  Visualization  Support vector machines  Machine learning  Streaming media  Spectrogram  Representative prototype selection  objectionable video recognition  deep learning  
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6050-6065
作者:  Wang, Bo;  Yuan, Chunfeng;  Li, Bing;  Ding, Xinmiao;  Li, Zeya;  Wu, Ying;  Hu, Weiming
收藏  |  浏览/下载：179/0  |  提交时间：2021/08/15
Location awareness  Neurons  Task analysis  Pattern recognition  Automation  Search problems  Proposals  Weakly supervised object localization  feature recalibration  multi-scale class activation mapping  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：344/105  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12
作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui;  Wang, Fangshi;  Hu, Weiming
收藏  |  浏览/下载：233/0  |  提交时间：2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
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
收藏  |  浏览/下载：246/0  |  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  
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 2, 页码: 218-233
作者:  Hu, Weiming;  Gao, Jun;  Li, Bing;  Wu, Ou;  Du, Junping;  Maybank, Stephen
收藏  |  浏览/下载：247/0  |  提交时间：2020/03/30
Anomaly detection  Kernel  Estimation  Saliency detection  Visualization  Data models  Computational modeling  Anomaly detection  local kernel density estimation  weighted neighborhood density  hierarchical context-based local kernel regression