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Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 期号: 0, 页码: 1045 - 1058
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Ruisheng Wang;  Xiaopeng Zhang
Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：25/9  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
CKDF: Cascaded Knowledge Distillation Framework for Robust Incremental Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3825–3837
作者:  Li KC(李焜炽);  Wan J(万军);  Yu S(余山)
Adobe PDF(3813Kb)  |  收藏  |  浏览/下载：36/9  |  提交时间：2024/05/28
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：281/16  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2656-2668
作者:  Tan, Huibin;  Zhang, Xiang;  Zhang, Zhipeng;  Lan, Long;  Zhang, Wenju;  Luo, Zhigang
Adobe PDF(2898Kb)  |  收藏  |  浏览/下载：187/46  |  提交时间：2021/03/29
Target tracking  Visualization  Feature extraction  Real-time systems  Oceans  Convolution  Task analysis  Siamese trackers  non-local attention  supervisedly attentive  
Attention Guided Multiple Source and Target Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 892-906
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3460Kb)  |  收藏  |  浏览/下载：303/49  |  提交时间：2021/03/02
Semantics  Task analysis  Generators  Generative adversarial networks  Feature extraction  Visualization  Meteorology  Domain adaptation  multiple source and target domains  attention  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：358/72  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：394/152  |  提交时间：2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Geometric Flow Approach for Region-Based Image Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 12, 页码: 4735-4745
作者:  Ye, Juntao;  Xu, Guoliang
收藏  |  浏览/下载：25/0  |  提交时间：2020/10/27
Geometric Flow  Image Segmentation  Minimization  Partial Differential Equations (Pde)  Variational Method  
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 10, 页码: 4765-4776
作者:  Wang, Xinchao;  Fan, Bin;  Chang, Shiyu;  Wang, Zhangyang;  Liu, Xianming;  Tao, Dacheng;  Huang, Thomas S.;  Bin Fan
浏览  |  Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：371/93  |  提交时间：2018/01/03
Multi-object Tracking  Minimum-cost Flows  Batch Processing  Graph Transformation  
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737
作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan
浏览  |  Adobe PDF(13016Kb)  |  收藏  |  浏览/下载：525/201  |  提交时间：2017/09/12
Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency