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Learning Multi-Attention Context Graph for Group-Based Re-Identification

Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao
2020 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A multi-level attention mechanism is developed to formulate both intra- and inter-group context, with an additional self-attention module for robust graph-level representations.  ...  However, most existing methods focus on person re-identification (re-id), ignoring the fact that people often walk in groups. In this work, we consider employing context information for group re-id.  ...  (b) Fig. 2 : 2 Illustration of the proposed Multi-Attention Context Graph for group-based re-identification.  ... 
doi:10.1109/tpami.2020.3032542 pmid:33079658 fatcat:53pzxlxw7fg6bg4chkqvwikts4

Pose-Guided Multi-Scale Structural Relationship Learning for Video-Based Pedestrian Re-Identification

Dan Wei, Xiaoqiang Hu, Ziyang Wang, Jianglin Shen, Hongjuan Ren
2021 IEEE Access  
In this paper, a posture-guided multi-scale structural relationship learning pedestrian re-identification method is proposed.  ...  INDEX TERMS Pedestrian re-identification, relationship model, graph convolutional network, multi-scale structure relationship.  ...  CONCLUSION This paper reaches the influence of multi-scale regions on pedestrian re-identification deeply, and proposes a postureguided multi-scale structure relationship learning video pedestrian re-identification  ... 
doi:10.1109/access.2021.3062967 fatcat:rec42qjynbg7dhpbfvvwy7t3ja

Learning Context Graph for Person Search [article]

Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
2019 arXiv   pre-print
We also build a graph learning framework to effectively employ context pairs to update target similarity.  ...  Person re-identification has achieved great progress with deep convolutional neural networks.  ...  Effective of Part-based Learning Framework Part-based learning framework has proven to be effective for many person re-id models.  ... 
arXiv:1904.01830v1 fatcat:2zzxtoieavemtmy25knnuot4ba

Learning Context Graph for Person Search

Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
We also build a graph learning framework to effectively employ context pairs to update target similarity.  ...  Person re-identification has achieved great progress with deep convolutional neural networks.  ...  Effective of Part-based Learning Framework Part-based learning framework has proven to be effective for many person re-id models.  ... 
doi:10.1109/cvpr.2019.00226 dblp:conf/cvpr/YanZNZXY19 fatcat:um4eocmzzrhfhofvm4r3rwvhnq

Guest Editorial Introduction to the Special Section on Intelligent Visual Content Analysis and Understanding

Hongliang Li, Lu Fang, Tianzhu Zhang
2020 IEEE transactions on circuits and systems for video technology (Print)  
"Deeply associative two-stage representations learning based on labels interval extension loss and group loss for person re-identification," by Huang et al., uses the global reinitialization stage and  ...  "Video dialog via multi-grained convolutional self-attention context multi-modal networks," by Gu et al., employs a multigrained convolutional self-attention context network to learn the joint representations  ... 
doi:10.1109/tcsvt.2020.3031416 fatcat:gpwbmydqbza5lddatxcfcidwcq

AirObject: A Temporally Evolving Graph Embedding for Object Identification [article]

Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian Scherer
2022 arXiv   pre-print
In this context, we propose a novel temporal 3D object encoding approach, dubbed AirObject, to obtain global keypoint graph-based embeddings of objects.  ...  Object encoding and identification are vital for robotic tasks such as autonomous exploration, semantic scene understanding, and re-localization.  ...  Object tracking methods based on networks such as Mask R-CNN [19] are not included because they are unsuitable for object re-identification.  ... 
arXiv:2111.15150v2 fatcat:cql6zqnvbngk3f6t3rlft4dgw4

Pedestrian Attribute Recognition: A Survey [article]

Xiao Wang, Shaofei Zheng, Rui Yang, Bin Luo, Jin Tang
2019 arXiv   pre-print
Fourthly, we analyse popular solutions for this task, such as attributes group, part-based, etc.  ...  Thirdly, we analyse the concept of multi-task learning and multi-label learning, and also explain the relations between these two learning algorithms and pedestrian attribute recognition.  ...  Chen et al. propose a video-based PAR dataset [172] by re-annotating MAR dataset [173] which is originally constructed for video based person re-identification.  ... 
arXiv:1901.07474v1 fatcat:h5krexsotbecvlwi2w4uw2y3ay

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
Learning Convolution Feature Aggregation via Edge Attention Convolution Network for Perso Re-Identification Qi, Yuanyuan Learning Graph Topology Representation with Attention Networks Qian,  ...  with Attention Networks Guo, Ruopei Learning Convolution Feature Aggregation via Edge Attention Convolution Network for Perso Re-Identification Guo, Yiru Absolute 3D Human Pose Estimation via  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT July 2020 2081-2092 Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification.  ...  ., +, TCSVT Jan. 2020 104-116 Complementation-Reinforced Attention Network for Person Re-Identification.  ...  A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Re-Identification.  ...  ., +, TIP 2021 92-107 Robust and Efficient Graph Correspondence Transfer for Person Re-Identification.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 6151-6163 Learning Recurrent 3D Attention for Video-Based Person Re-Identification.  ...  Ren, X., +, TIP 2020 7497-7510 Tensor Multi-Task Learning for Person Re-Identification.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification [article]

Lin Wan, Zongyuan Sun, Qianyan Jing, Yehansen Chen, Lijing Lu, Zhihang Li
2021 arXiv   pre-print
To achieve the graph-based dual-alignment learning, an Optimal Transport (OT) based structured metric is further introduced to simultaneously measure point-wise relations and group-wise structural similarities  ...  It can jointly encourage the cross-modal consistency between part semantics and structural relations for fine-grained modality alignment by solving a graph matching task within a multi-scale skeleton graph  ...  Graph Attention Network Graph Attention Network (GAT) [61] is an attention-based architecture applied to graph-structured data.  ... 
arXiv:2106.07853v2 fatcat:3nspm3ymgng67esqksxrfqugme

Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization

Jingdong Wang, Zhuowen Tu, Jianlong Fu, Nicu Sebe, Serge Belongie
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The paper "Pose-Guided Representation Learning for Person Re-Identification" by Jianing Li, Shiliang Zhang, Qi Tian, and Wen Gao aims to learn an efficient global representation in person re-identification  ...  They also propose a framework named Graph-based Learning for Multi-Granularity Interaction Representation (GLMGIR) to generate action/event description of multiple spatio-temporal resolutions in a progressive  ... 
doi:10.1109/tpami.2021.3065094 fatcat:7uqctb6qgnc7jf2dv75wnustfi

Table of contents

2020 IEEE Transactions on Image Processing  
Andreopoulos 2622 Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification ............................... .................................................................  ...  Daei 2452 Tensor Multi-Task Learning for Person Re-Identification ........... Z. Zhang, Y. Xie, W. Zhang, Y. Tang, and Q.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
The article by Gong and Zhu, ''Person re-identification based on two-stream network with attention and pose features,'' combines the advantages of pose estimation and attention mechanism to better solve  ...  The article by Fan et al., ''AEDmts: An attention-based encoder-decoder framework for multi-sensory time series analytic,'' proposes an attention-based encoder-decoder framework for multisensory time-series  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra
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