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CASIA OpenIR
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Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：51/20  |  提交时间：2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
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：232/71  |  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：359/49  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Manipulating Template Pixels for Model Adaptation of Siamese Visual Tracking 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 页码: 1690-1694
作者:  Li, Zhenbang;  Li, Bing;  Gao, Jin;  Li, Liang;  Hu, Weiming
Adobe PDF(1209Kb)  |  收藏  |  浏览/下载：263/16  |  提交时间：2021/01/07
Adaptation models  Target tracking  Task analysis  Visualization  Feature extraction  Object tracking  Training  Model adaptation  siamese networks  visual tracking  
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
Adobe PDF(2455Kb)  |  收藏  |  浏览/下载：293/8  |  提交时间：2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
Asymmetric 3D Convolutional Neural Networks for action recognition 期刊论文
Pattern Recognition, 2019, 卷号: 85, 期号: 1, 页码: 1-12
作者:  Yang H(杨浩);  Yuan CF(原春峰);  Li B(李兵);  Du Y(杜杨);  Xing JL(兴军亮);  Hu WM(胡卫明);  Stephen J. Maybank
浏览  |  Adobe PDF(2689Kb)  |  收藏  |  浏览/下载：448/157  |  提交时间：2019/04/30
Asymmetric 3d Convolution  Micronets  3d-cnn  Action Recognition  
Asymmetric 3D Convolutional Neural Networks for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 期号: 1, 页码: 1-12
作者:  Yang, Hao;  Yuan, Chunfeng;  Li, Bing;  Du, Yang;  Xing, Junliang;  Hu, Weiming;  Maybank, Stephen J.
浏览  |  Adobe PDF(2689Kb)  |  收藏  |  浏览/下载：580/127  |  提交时间：2019/01/08
Asymmetric 3D convolution  MicroNets  3D-CNN  Action recognition  
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：444/107  |  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：504/188  |  提交时间：2017/05/05
Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning  
Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 6, 页码: 1062-1076
作者:  Wu, Ou;  Zuo, Haiqiang;  Hu, Weiming;  Li, Bing;  Ou Wu
浏览  |  Adobe PDF(757Kb)  |  收藏  |  浏览/下载：555/192  |  提交时间：2016/10/20
Aesthetic Features  Fusion  Local Features  Multitask Learning  Visual Aesthetics  Web Pages