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CASIA OpenIR

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Multi-Object Tracking With Spatial-Temporal Topology-Based Detector 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 5, 页码: 3023-3035
作者:  You, Sisi;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：259/0  |  提交时间：2022/06/10
Target tracking  Topology  Tracking  Detectors  Visualization  Trajectory  Proposals  Multi-object tracking  spatial-temporal topology-based detector  spatial topology constraint  temporal topology constraint  
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1933-1942
作者:  Yao, Hantao;  Min, Shaobo;  Zhang, Yongdong;  Xu, Changsheng
收藏  |  浏览/下载：213/0  |  提交时间：2022/06/10
Semantics  Visualization  Bridges  Training  Knowledge transfer  Image recognition  Topology  Transductive Zero-Shot Learning  Graph Attribute Embedding  Attribute-Induced Bias Eliminating  Semantic-Visual Alignment  
Geometry Sensitive Cross-Modal Reasoning for Composed Query Based Image Retrieval 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 1000-1011
作者:  Zhang, Feifei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：243/0  |  提交时间：2022/02/16
Visualization  Image retrieval  Semantics  Cognition  Geometry  Task analysis  Electronic mail  Composed query based image retrieval  semantic gap  spatial structure  inter-modal attention  text-guided visual reasoning  
Learning to Model Relationships for Zero-Shot Video Classification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 10, 页码: 3476-3491
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载：256/0  |  提交时间：2021/11/04
Zero-shot video classification  graph neural networks  zero-shot learning  deep attention model  
Unsupervised Video Summarization via Relation-Aware Assignment Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3203-3214
作者:  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Yingying;  Xu, Changsheng
Adobe PDF(3649Kb)  |  收藏  |  浏览/下载：317/62  |  提交时间：2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
Multi-Target Multi-Camera Tracking With Optical-Based Pose Association 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 8, 页码: 3105-3117
作者:  You, Sisi;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：216/0  |  提交时间：2021/11/02
Target tracking  Trajectory  Cameras  Visualization  Feature extraction  Proposals  Object detection  Multi-target multi-camera tracking  pose estimation  optical flow  pose matching  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：328/45  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Unsupervised meta-learning for few-shot learning 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 116, 页码: 10
作者:  Xu, Hui;  Wang, Jiaxing;  Li, Hao;  Ouyang, Deqiang;  Shao, Jie
收藏  |  浏览/下载：167/0  |  提交时间：2021/08/15
Unsupervised learning  Meta-learning  Few-shot learning  
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
作者:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：168/0  |  提交时间：2021/05/10
Visualization  Proposals  Detectors  Feature extraction  Object detection  Pose estimation  Fuses  Pedestrian detection  pedestrian recognization network  pose-embedding  pose information  
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
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：286/40  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network