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DomainFeat: Learning Local Features With Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 46-59
作者:  Xu, Rongtao;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(6039Kb)  |  收藏  |  浏览/下载：82/10  |  提交时间：2024/03/26
Feature extraction  Location awareness  Visualization  Robustness  Image matching  Detectors  Decoding  Local features  domain adaptation  cross-domain data  consistency loss  
Category-Level 6D Object Pose Estimation With Structure Encoder and Reasoning Attention 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 6728-6740
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo;  Liu, Xilong;  Tan, Min
Adobe PDF(22124Kb)  |  收藏  |  浏览/下载：287/11  |  提交时间：2022/11/14
Shape  Three-dimensional displays  Cognition  Pose estimation  Feature extraction  Decoding  Solid modeling  Category-level  6D object pose estimation  structure encoder  reasoning attention  
Cross-Domain Person Re-Identification Using Heterogeneous Convolutional Network 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1160-1171
作者:  Zhang, Zhong;  Wang, Yanan;  Liu, Shuang;  Xiao, Baihua;  Durrani, Tariq S.
收藏  |  浏览/下载：239/0  |  提交时间：2022/06/06
Correlation  Feature extraction  Couplings  Convolution  Training  Cameras  Loss measurement  Cross-domain person re-identification  graph convolution network  dual graph convolution  
Are You Confident That You Have Successfully Generated Adversarial Examples? 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 6, 页码: 2089-2099
作者:  Wang, Bo;  Zhao, Mengnan;  Wang, Wei;  Wei, Fei;  Qin, Zhan;  Ren, Kui
Adobe PDF(2235Kb)  |  收藏  |  浏览/下载：369/45  |  提交时间：2021/08/15
Perturbation methods  Iterative methods  Computational modeling  Neural networks  Security  Training  Robustness  Deep neural networks  adversarial examples  structural black box  buffer  
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：409/65  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering