CASIA OpenIR

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A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 6, 页码: 3880-3894
作者:  Li, Zhenbang;  Shi, Yaya;  Gao, Jin;  Wang, Shaoru;  Li, Bing;  Liang, Pengpeng;  Hu, Weiming
Adobe PDF(4397Kb)  |  收藏  |  浏览/下载:53/27  |  提交时间:2024/06/21
Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 11, 页码: 4334 - 4346
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(2538Kb)  |  收藏  |  浏览/下载:393/97  |  提交时间:2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: 10.1109/TCSVT.2019.2950449, 页码: 1-13
作者:  Tang, Fulin;  Wu, Yihong;  Hou, Xiaohui;  Ling, Haibin
浏览  |  Adobe PDF(6471Kb)  |  收藏  |  浏览/下载:361/89  |  提交时间:2020/06/11
Augmented reality(AR)  cylindrical object  reconstruction  tracking  linear P3P RANSAC  
RefineDet++: Single-Shot Refinement Neural Network for Object Detection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 期号: 0, 页码: 0
作者:  Zhang, Shifeng;  Wen, Longyin;  Lei, Zhen;  Li, Stan Z.
浏览  |  Adobe PDF(4899Kb)  |  收藏  |  浏览/下载:162/0  |  提交时间:2020/06/08
Object detection, one-stage, refinement network  
Complete Scene Reconstruction by Merging Images and Laser Scans 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 30, 期号: 10, 页码: 3688-3701
作者:  Gao Xiang;  Shen Shuhan;  Zhu Lingjie;  Shi Tianxin;  Wang Zhiheng;  Hu Zhanyi
浏览  |  Adobe PDF(25486Kb)  |  收藏  |  浏览/下载:355/69  |  提交时间:2019/10/07
Complete Scene Reconstruction  Image And Laser Scan Merging  Laser Scanning Location Planning  Image Synthesis And Matching