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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：12/4  |  提交时间：2024/06/21
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：194/54  |  提交时间：2022/06/14
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 101, 页码: 14
作者:  Zhang, Congxuan;  Feng, Cheng;  Chen, Zhen;  Hu, Weiming;  Li, Ming
收藏  |  浏览/下载：255/0  |  提交时间：2021/12/28
Optical flow  Occlusion detection  Edge-preserving  Parallel multiscale context  Convolutional neural network  
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：333/45  |  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：229/4  |  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  
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：301/4  |  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  
Tangent Fisher Vector on Matrix Manifolds for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 3052-3064
作者:  Luo, Guan;  Wei, Jiutong;  Hu, Weiming;  Maybank, Stephen J.
浏览  |  Adobe PDF(2396Kb)  |  收藏  |  浏览/下载：375/81  |  提交时间：2020/04/07
Manifolds  Video sequences  Observability  Videos  Covariance matrices  Kernel  Computational modeling  Action recognition  Fisher vector  Grassmann manifold  Hankel matrix  matrix manifold  
Dual L-1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 期号: 128, 页码: 33
作者:  Hu, Weiming;  Shi, Xinchu;  Zhou, Zongwei;  Xing, Junliang;  Ling, Haibin;  Maybank, Stephen
Adobe PDF(6300Kb)  |  收藏  |  浏览/下载：698/228  |  提交时间：2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
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：426/151  |  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.
Adobe PDF(2689Kb)  |  收藏  |  浏览/下载：554/119  |  提交时间：2019/01/08
Asymmetric 3D convolution  MicroNets  3D-CNN  Action recognition