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CASIA OpenIR
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DARTScore: DuAl-Reconstruction Transformer for Video Captioning Evaluation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 4, 页码: 2041-2055
作者:  Chen, Yuxin;  Zhang, Ziqi;  Qi, Zhongang;  Yuan, Chunfeng;  Wang, Jie;  Shan, Ying;  Li, Bing;  Hu, Weiming;  Qie, Xiaohu;  Wu, Jianping
Adobe PDF(13765Kb)  |  收藏  |  浏览/下载：44/1  |  提交时间：2024/05/30
Chinese video captioning evaluation  dual-reconstruction transformer  
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8439-8453
作者:  Bai, Weiming;  Zhang, Zhipeng;  Li, Bing;  Wang, Pei;  Li, Yangxi;  Zhang, Congxuan;  Hu, Weiming
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：219/64  |  提交时间：2022/06/14
Toward Accurate Pixelwise Object Tracking via Attention Retrieval 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8553-8566
作者:  Zhang, Zhipeng;  Liu, Yufan;  Li, Bin;  Hu, Weiming;  Peng, Houwen
Adobe PDF(3636Kb)  |  收藏  |  浏览/下载：210/58  |  提交时间：2022/06/14
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：355/48  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
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：327/13  |  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  
Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 987-1001
作者:  Xing, Junliang;  Niu, Zhiheng;  Huang, Junshi;  Hu, Weiming;  Zhou, Xi;  Yan, Shuicheng
Adobe PDF(8206Kb)  |  收藏  |  浏览/下载：427/111  |  提交时间：2018/01/04
Face Alignment  Dictionary Learning  Sparse Representation  Appearance-shape Modeling  
Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 12, 页码: 2554-2560
作者:  Li, Bing;  Yuan, Chunfeng;  Xiong, Weihua;  Hu, Weiming;  Peng, Houwen;  Ding, Xinmiao;  Maybank, Steve
浏览  |  Adobe PDF(352Kb)  |  收藏  |  浏览/下载：437/103  |  提交时间：2018/01/02
Multi-instance Learning  Multi-view  Sparse Representation  Dictionary Learning  
Salient Object Detection via Structured Matrix Decomposition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 4, 页码: 818-832
作者:  Peng, Houwen;  Li, Bing;  Ling, Haibin;  Hu, Weiming;  Xiong, Weihua;  Maybank, Stephen J.
Adobe PDF(3573Kb)  |  收藏  |  浏览/下载：499/187  |  提交时间：2017/05/05
Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning  
Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 8, 页码: 1616-1627
作者:  Ding, Xinmiao;  Li, Bing;  Xiong, Weihua;  Guo, Wen;  Hu, Weiming;  Wang, Bo
Adobe PDF(549Kb)  |  收藏  |  浏览/下载：473/158  |  提交时间：2016/10/20
Image Annotation  Instance Context  Label Context  Multi-instance  Multi-label  
Learning A Superpixel-Driven Speed Function for Level Set Tracking 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 7, 页码: 1498-1510
作者:  Zhou, Xue;  Li, Xi;  Hu, Weiming
浏览  |  Adobe PDF(2788Kb)  |  收藏  |  浏览/下载：407/133  |  提交时间：2016/10/20
Level Set Tracking  Metric Learning  Non-negative Matrix Factorization (Nf)  Speed Function  Superpixel (Sp)-driven