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PEN: Pose-Embedding Network for Pedestrian Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1150-1162
Authors:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
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Visualization  Proposals  Detectors  Feature extraction  Object detection  Pose estimation  Fuses  Pedestrian detection  pedestrian recognization network  pose-embedding  pose information  
Attention-Based Multi-Source Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3793-3803
Authors:  Zuo, Yukun;  Yao, Hantao;  Xu, Changsheng
Favorite  |  View/Download:9/0  |  Submit date: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  
Joint Person Objectness and Repulsion for Person Search 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 685-696
Authors:  Yao, Hantao;  Xu, Changsheng
Favorite  |  View/Download:11/0  |  Submit date:2021/03/02
Probes  Search problems  Detectors  Proposals  Visualization  Noise measurement  Transforms  Detection-Matching person search  person repulsion  person objectness  person re-identification  
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
Authors:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
Favorite  |  View/Download:29/0  |  Submit date: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  
Intra-domain Consistency Enhancement for Unsupervised Person Re-identification 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0-0
Authors:  Li, Yaoyu;  Yao, Hantao;  Xu, Changsheng
Adobe PDF(2167Kb)  |  Favorite  |  View/Download:2/0  |  Submit date:2021/06/22
Person Re-identification  unsupervised domain adaptation  representation learning  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
Authors:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
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Person re-identification  representation learning  graph convolutional network  
跨场景的人体目标轨迹分析 研究报告
2020
Authors:  姚涵涛
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目标跟踪  局部损失约束  人体目标描述  跨摄像机的动态身份关联人体目标匹配。  
Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 4996-5009
Authors:  Min, Shaobo;  Yao, Hantao;  Xie, Hongtao;  Zha, Zheng-Jun;  Zhang, Yongdong
Favorite  |  View/Download:56/0  |  Submit date:2020/06/02
Visualization  Graphics processing units  Feature extraction  Convergence  Optimization  Covariance matrices  Training  Fine-grained visual recognition  bilinear pooling  matrix normalization  multi-objective optimization  
Adaptive Feature Fusion via Graph Neural Network for Person Re-identification 会议论文
ACM Multimedia Conference (MM 19), Nice, France, October 21–25, 2019
Authors:  Li, Yaoyu;  Yao, Hantao;  Duan, Lingyu;  Yao, Hanxing;  Xu, Changsheng
Adobe PDF(2961Kb)  |  Favorite  |  View/Download:1/0  |  Submit date:2021/06/22
Person Re-identification  Feature Fusion  GNN  
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
Authors:  Yao, Hantao;  Zhang, Shiliang;  Hong, Richang;  Zhang, Yongdong;  Xu, Changsheng;  Tian, Qi
Favorite  |  View/Download:87/0  |  Submit date:2019/04/23
Person re-identification  representation learning  part lass networks  convolutional neural networks