CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
SAN: Selective Alignment Network for Cross-Domain Pedestrian Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2155-2167
作者:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载:239/0  |  提交时间:2021/03/15
Proposals  Feature extraction  Detectors  Visualization  Training  Image color analysis  Adaptation models  Cross-domain pedestrian detection  instance-level adaptation network  image-level adaptation network  pedestrian detection  
Attention-Based Multi-Source Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3793-3803
作者:  Zuo, Yukun;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载:235/0  |  提交时间:2021/05/06
Correlation  Adaptation models  Feature extraction  Target recognition  Data models  Transfer learning  Visualization  Multi-source domain adaptation  attention-based multi-source domain adaptation  weighted moment distance  
Geometry Guided Pose-Invariant Facial Expression Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 4445-4460
作者:  Zhang, Feifei;  Zhang, Tianzhu;  Mao, Qirong;  Xu, Changsheng
收藏  |  浏览/下载:221/0  |  提交时间:2020/06/02
Facial expression recognition  facial image synthesis  generative adversarial network  facial landmarks  
A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 6574-6589
作者:  Zhang, Feifei;  Zhang, Tianzhu;  Mao, Qirong;  Xu, Changsheng
收藏  |  浏览/下载:201/0  |  提交时间:2020/08/03
Face  Task analysis  Face recognition  Geometry  Feature extraction  Training  Generators  Facial expression recognition  facial image synthesis  generative adversarial network  facial landmarks  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(9244Kb)  |  收藏  |  浏览/下载:326/40  |  提交时间:2019/09/30
Visual tracking  deep learning  sampling and regression  
Deep Representation Learning With Part Loss for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2860-2871
作者:  Yao, Hantao;  Zhang, Shiliang;  Hong, Richang;  Zhang, Yongdong;  Xu, Changsheng;  Tian, Qi
收藏  |  浏览/下载:270/0  |  提交时间:2019/04/23
Person re-identification  representation learning  part lass networks  convolutional neural networks