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ICPR14(960-965)
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Earlier:
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And:
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Cameras
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Videos, Cameras, Dictionaries, Feature extraction, Training,
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1704
BibRef
Earlier: A2, A1, A3, A5, A5, A6, Only:
Person Re-Identification with Correspondence Structure Learning,
ICCV15(3200-3208)
IEEE DOI
1602
Cameras
BibRef
Zheng, L.[Liang],
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1602
Benchmark testing
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PAMI(39), No. 2, February 2017, pp. 356-370.
IEEE DOI
1702
BibRef
Earlier:
Learning Mid-level Filters for Person Re-identification,
CVPR14(144-151)
IEEE DOI
1409
BibRef
Earlier:
Person Re-identification by Salience Matching,
ICCV13(2528-2535)
IEEE DOI
1403
BibRef
Earlier:
Unsupervised Salience Learning for Person Re-identification,
CVPR13(3586-3593)
IEEE DOI
1309
Mid-level filter; person re-identification.
Salience matching; person re-identification; recognition
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Chen, D.P.[Da-Peng],
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Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map
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IJCV(123), No. 3, July 2017, pp. 392-414.
Springer DOI
1706
BibRef
Earlier: A1, A2, A4, A6, Only:
Similarity Learning with Spatial Constraints for Person
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CVPR16(1268-1277)
IEEE DOI
1612
BibRef
Earlier: A1, A2, A5, A6, A3, Only:
Similarity learning on an explicit polynomial kernel feature map for
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CVPR15(1565-1573)
IEEE DOI
1510
BibRef
Shao, Z.Y.[Zhi-Yin],
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WWW Link.
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ICIP17(111-115)
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1803
Cameras, Correlation, Kernel, Manifolds, Measurement, Optimization,
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1709
BibRef
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Person re-identification by utilizing hierarchical spatial relation
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IVC(148), 2024, pp. 105111.
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2407
Person re-identification, Relation reasoning,
Relationship learning, Feature fusion
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An, L.,
Qin, Z.,
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Multi-Level Common Space Learning for Person Re-Identification,
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IEEE DOI
1808
Cameras, Measurement, Feature extraction, Image color analysis,
Probes, Lighting, Surveillance, Person re-identification,
group sparse representation
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Karanam, S.,
Wu, Z.,
Radke, R.J.,
Learning Affine Hull Representations for Multi-Shot Person
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CirSysVideo(28), No. 10, October 2018, pp. 2500-2512.
IEEE DOI
1811
Measurement, Cameras, Learning systems, Image sequences, Probes,
Image recognition, Approximation algorithms, Re-identification,
video analytics
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Wang, H.X.[Han-Xiao],
Zhu, X.T.[Xia-Tian],
Gong, S.G.[Shao-Gang],
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Person Re-identification in Identity Regression Space,
IJCV(126), No. 12, December 2018, pp. 1288-1310.
Springer DOI
1811
BibRef
Li, W.[Wei],
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Hierarchical distillation learning for scalable person search,
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Elsevier DOI
2103
Person search, Person re-identification, Person detection,
Knowledge distillation, Scalability, Model inference efficiency
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Li, M.X.[Min-Xian],
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Gong, S.G.[Shao-Gang],
Unsupervised Person Re-identification by Deep Learning Tracklet
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Springer DOI
1810
BibRef
Dai, J.,
Zhang, P.,
Wang, D.,
Lu, H.,
Wang, H.,
Video Person Re-Identification by Temporal Residual Learning,
IP(28), No. 3, March 2019, pp. 1366-1377.
IEEE DOI
1812
Feature extraction, Video sequences, Cameras, Face recognition,
Image recognition, Data mining, Bidirectional control,
temporal residual learning
BibRef
Huang, Y.[Yan],
Xu, J.S.[Jing-Song],
Wu, Q.A.[Qi-Ang],
Zheng, Z.D.[Zhe-Dong],
Zhang, Z.X.[Zhao-Xiang],
Zhang, J.[Jian],
Multi-Pseudo Regularized Label for Generated Data in Person
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IP(28), No. 3, March 2019, pp. 1391-1403.
IEEE DOI
1812
Training, Semisupervised learning, Training data,
Data models, Machine learning, Task analysis,
semi-supervised learning
BibRef
Huang, L.Q.[Li-Qin],
Yang, Q.Q.[Qing-Qing],
Wu, J.Y.[Jun-Yi],
Huang, Y.[Yan],
Wu, Q.A.[Qi-Ang],
Xu, J.S.[Jing-Song],
Generated Data With Sparse Regularized Multi-Pseudo Label for Person
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SPLetters(27), 2020, pp. 391-395.
IEEE DOI
2004
Person re-identification, generated data, sparse pseudo label
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Xian, Y.Q.[Yu-Qiao],
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Enhanced multi-dataset transfer learning method for unsupervised person
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IET-CV(12), No. 8, December 2018, pp. 1219-1227.
DOI Link
1812
BibRef
Lian, S.C.[Si-Cheng],
Jiang, W.T.[Wei-Tao],
Hu, H.F.[Hai-Feng],
Attention-Aligned Network for Person Re-Identification,
CirSysVideo(31), No. 8, August 2021, pp. 3140-3153.
IEEE DOI
2108
Active appearance model, Feature extraction, Visualization,
Learning systems, Clutter, Training, Measurement,
omnibearing foreground-aware attention
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Subramanyam, A.V.,
Gupta, V.,
Ahuja, R.,
Robust Discriminative Subspace Learning for Person Reidentification,
SPLetters(26), No. 1, January 2019, pp. 154-158.
IEEE DOI
1901
covariance analysis, iterative methods,
learning (artificial intelligence), video surveillance,
person Re-identification
BibRef
Xu, X.Y.[Xiao-Yue],
Chen, Y.[Ying],
Video-based person re-identification based on regularised hull distance
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IET-CV(13), No. 4, June 2019, pp. 385-394.
DOI Link
1906
BibRef
Li, W.H.[Wei-Hong],
Zhong, Z.[Zhuowei],
Zheng, W.S.[Wei-Shi],
One-pass person re-identification by sketch online discriminant
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PR(93), 2019, pp. 237-250.
Elsevier DOI
1906
Online learning, Person re-identification, Discriminant feature extraction
BibRef
Zhong, W.L.[Wei-Lin],
Zhang, T.[Tao],
Jiang, L.F.[Lin-Feng],
Ji, J.S.[Jin-Sheng],
Zhang, Z.H.[Zeng-Hui],
Xiong, H.L.[Hui-Lin],
Discriminative representation learning for person re-identification
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JVCIR(62), 2019, pp. 267-278.
Elsevier DOI
1908
Person re-identification, Multi-loss training, Inter-center loss
BibRef
Yang, H.[Hua],
Cheng, Z.X.[Zhao-Xi],
Chen, L.[Lin],
Reranking optimization for person re-identification under
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PRL(127), 2019, pp. 146-155.
Elsevier DOI
1911
Temporal-spatial constraints, Network consistence constraints,
Person reidentification, Topology information, Global optimization
BibRef
Chen, L.[Lin],
Yang, H.[Hua],
Gao, Z.Y.[Zhi-Yong],
Comprehensive feature fusion mechanism for video-based person
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SP:IC(84), 2020, pp. 115835.
Elsevier DOI
2004
Person re-identification, Attention, Residual learning, Feature fusion
BibRef
Yan, Y.C.[Yi-Chao],
Ni, B.B.[Bing-Bing],
Liu, J.X.[Jin-Xian],
Yang, X.K.[Xiao-Kang],
Multi-level attention model for person re-identification,
PRL(127), 2019, pp. 156-164.
Elsevier DOI
1911
BibRef
Zheng, A.,
Zhang, X.,
Jiang, B.,
Luo, B.,
Li, C.,
A Subspace Learning Approach to Multishot Person Reidentification,
SMCS(50), No. 1, January 2020, pp. 149-158.
IEEE DOI
2001
Cameras, Sparse matrices, Image color analysis, Robustness,
Image sequences, Surveillance, subspace learning
BibRef
Choi, H.[Hyunguk],
Yow, K.C.[Kin Choong],
Jeon, M.[Moongu],
Training approach using the shallow model and hard triplet mining for
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IET-IPR(14), No. 2, February 2020, pp. 256-266.
DOI Link
2001
BibRef
Zhang, Y.F.[Yi-Fu],
Wang, C.Y.[Chun-Yu],
Wang, X.G.[Xing-Gang],
Zeng, W.J.[Wen-Jun],
Liu, W.Y.[Wen-Yu],
FairMOT: On the Fairness of Detection and Re-identification in Multiple
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IJCV(129), No. 11, November 2021, pp. 3069-3087.
Springer DOI
2110
BibRef
Wang, C.[Cheng],
Zhang, Q.[Qian],
Huang, C.[Chang],
Liu, W.Y.[Wen-Yu],
Wang, X.G.[Xing-Gang],
Mancs: A Multi-task Attentional Network with Curriculum Sampling for
Person Re-Identification,
ECCV18(II: 384-400).
Springer DOI
1810
BibRef
Lin, Y.T.[Yu-Tian],
Wu, Y.[Yu],
Yan, C.G.[Cheng-Gang],
Xu, M.L.[Ming-Liang],
Yang, Y.[Yi],
Unsupervised Person Re-identification via Cross-Camera Similarity
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IP(29), 2020, pp. 5481-5490.
IEEE DOI
2005
BibRef
Zhu, B.[Bin],
Xu, T.K.[Tong-Kun],
Zheng, B.[Bolun],
Zhang, Q.[Quan],
Sun, Y.Q.[Yao-Qi],
Liu, A.[Anan],
Mao, Z.D.[Zhen-Dong],
Yan, C.G.[Cheng-Gang],
Evolution of ICTs-empowered-identification:
A general re-ranking method for person re-identification,
PRL(150), 2021, pp. 94-100.
Elsevier DOI
2109
Person re-identification, Re-ranking, Feature relation map
BibRef
Lin, Y.T.[Yu-Tian],
Xie, L.X.[Ling-Xi],
Wu, Y.[Yu],
Yan, C.G.[Cheng-Gang],
Tian, Q.[Qi],
Unsupervised Person Re-Identification via Softened Similarity
Learning,
CVPR20(3387-3396)
IEEE DOI
2008
Cameras, Training, Quantization (signal), Feature extraction,
Task analysis, Robustness, Machine learning
BibRef
Jiang, M.[Min],
Li, C.[Cong],
Kong, J.[Jun],
Teng, Z.D.[Zhen-De],
Zhuang, D.F.[Dan-Feng],
Cross-level reinforced attention network for person re-identification,
JVCIR(69), 2020, pp. 102775.
Elsevier DOI
2006
Person re-identification, Features of different levels,
Soft attention, Hard attention, Reinforced attention
BibRef
Ning, M.[Munan],
Zeng, K.W.[Kai-Wei],
Guo, Y.[Yang],
Wang, Y.H.[Yao-Hua],
Deviation based clustering for unsupervised person re-identification,
PRL(135), 2020, pp. 237-243.
Elsevier DOI
2006
Person re-identification, Neural networks, Clustering, Unsupervised learning
BibRef
Zhou, Q.Q.[Qin-Qin],
Zhong, B.N.[Bi-Neng],
Lan, X.Y.[Xiang-Yuan],
Sun, G.[Gan],
Zhang, Y.L.[Yu-Lun],
Zhang, B.C.[Bao-Chang],
Ji, R.R.[Rong-Rong],
Fine-Grained Spatial Alignment Model for Person Re-Identification
With Focal Triplet Loss,
IP(29), 2020, pp. 7578-7589.
IEEE DOI
2007
Person re-identification, spatial alignment, focal triplet loss
BibRef
Zheng, F.[Feng],
Deng, C.[Cheng],
Sun, X.[Xing],
Jiang, X.Y.[Xin-Yang],
Guo, X.W.[Xiao-Wei],
Yu, Z.Q.[Zong-Qiao],
Huang, F.Y.[Fei-Yue],
Ji, R.R.[Rong-Rong],
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training,
CVPR19(8506-8514).
IEEE DOI
2002
BibRef
Huang, H.J.[Hou-Jing],
Yang, W.J.[Wen-Jie],
Lin, J.B.[Jin-Bin],
Huang, G.[Guan],
Xu, J.M.[Jia-Miao],
Wang, G.L.[Guo-Li],
Chen, X.T.[Xiao-Tang],
Huang, K.Q.[Kai-Qi],
Improve Person Re-Identification With Part Awareness Learning,
IP(29), 2020, pp. 7468-7481.
IEEE DOI
2007
Person re-identification, part awareness, part segmentation, multi-task learning
BibRef
Yang, F.X.[Feng-Xiang],
Zhong, Z.[Zhun],
Luo, Z.M.[Zhi-Ming],
Lian, S.[Sheng],
Li, S.Z.[Shao-Zi],
Leveraging Virtual and Real Person for Unsupervised Person
Re-Identification,
MultMed(22), No. 9, September 2020, pp. 2444-2453.
IEEE DOI
2008
Training, Cameras, Data mining, Training data, Feature extraction,
Annotations, Person re-identification, collaborative filtering
BibRef
Li, S.[Shuai],
Song, W.F.[Wen-Feng],
Fang, Z.[Zheng],
Shi, J.Y.[Jia-Ying],
Hao, A.M.[Ai-Min],
Zhao, Q.P.[Qin-Ping],
Qin, H.[Hong],
Long-Short Temporal-Spatial Clues Excited Network for Robust Person
Re-identification,
IJCV(128), No. 12, December 2020, pp. 2936-2961.
Springer DOI
2010
BibRef
And:
Correction:
IJCV(129), No. 9, September 2021, pp. 2730-2730.
Springer DOI
2108
BibRef
Han, C.,
Zheng, R.,
Gao, C.,
Sang, N.,
Complementation-Reinforced Attention Network for Person
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CirSysVideo(30), No. 10, October 2020, pp. 3433-3445.
IEEE DOI
2010
Task analysis, Redundancy, Feature extraction, Head, Visualization,
Optimization, Measurement, Person re-identification, attention, complementation
BibRef
Luo, J.,
Liu, Y.,
Gao, C.,
Sang, N.,
Learning What and Where from Attributes to Improve Person
Re-Identification,
ICIP19(165-169)
IEEE DOI
1910
Person re-identification, attribute, fusion, feature attention
BibRef
Chen, K.,
Chen, Y.,
Han, C.,
Sang, N.,
Gao, C.,
Wang, R.,
Improving Person Re-Identification by Adaptive Hard Sample Mining,
ICIP18(1638-1642)
IEEE DOI
1809
Training, Adaptation models, Computational modeling,
Machine learning, Robustness, Cameras, Task analysis,
Deep Learning
BibRef
Liu, X.K.[Xiao-Kai],
Bi, S.[Sheng],
Fang, S.J.[Shao-Jun],
Bouridane, A.[Ahmed],
Bayesian Inferred Self-Attentive Aggregation for Multi-Shot Person
Re-Identification,
CirSysVideo(30), No. 10, October 2020, pp. 3446-3458.
IEEE DOI
2010
Neural networks, Semantics, Feature extraction, Bayes methods,
Robustness, Cameras, Machine learning,
collective aggregation
BibRef
Liu, M.,
Qu, L.,
Nie, L.,
Liu, M.,
Duan, L.,
Chen, B.,
Iterative Local-Global Collaboration Learning Towards One-Shot Video
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IP(29), 2020, pp. 9360-9372.
IEEE DOI
2010
One-shot learning, video person re-identification,
variational information bottleneck,
dynamic sample selection
BibRef
Li, S.S.[Si-Shang],
Liu, X.L.[Xue-Liang],
Zhao, Y.[Ye],
Wang, M.[Meng],
Person re-identification based on multi-scale constraint network,
PRL(138), 2020, pp. 403-409.
Elsevier DOI
1806
Multi-scale, Person Re-ID, TriHard loss
BibRef
Fu, D.,
Xin, B.,
Wang, J.,
Chen, D.,
Bao, J.,
Hua, G.,
Li, H.,
Improving Person Re-Identification With Iterative Impression
Aggregation,
IP(29), 2020, pp. 9559-9571.
IEEE DOI
2011
Measurement, Computational modeling, Standards, Benchmark testing,
Task analysis, Analytical models, Training,
post-processing
BibRef
Zhao, Y.[Yu],
Shu, Q.Y.[Qiao-Yuan],
Fu, K.[Keren],
Wei, P.C.[Peng-Cheng],
Zhan, J.[Jian],
Joint patch and instance discrimination learning for unsupervised
person re-identification,
IVC(103), 2020, pp. 104000.
Elsevier DOI
2011
Unsupervised person re-identification,
Large-scale person re-ID, Instance-wise supervision, Joint training
BibRef
Geng, Y.B.[Yan-Bing],
Lian, Y.J.[Yong-Jian],
Zhou, M.L.[Ming-Liang],
Kong, Y.X.[Yi-Xue],
Zhu, Y.N.[Yi-Nong],
Exploiting multigranular salient features with hierarchical
multi-mode attention network for pedestrian re-IDentification,
JVCIR(73), 2020, pp. 102914.
Elsevier DOI
2012
Pedestrian re-identification, Hierarchical,
Multi-mode attention network, Hierarchical adaptive fusion, Fused attention
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Liu, T.,
Luo, W.,
Ma, L.,
Huang, J.J.,
Stathaki, T.,
Dai, T.,
Coupled Network for Robust Pedestrian Detection With Gated
Multi-Layer Feature Extraction and Deformable Occlusion Handling,
IP(30), 2021, pp. 754-766.
IEEE DOI
2012
Feature extraction, Logic gates, Proposals, Detectors, Task analysis,
Neural networks, Forestry, Pedestrian detection, coupled network,
deformable RoI-pooling
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Huang, Y.[Yewen],
Huang, Y.[Yi],
Hu, H.F.[Hai-Feng],
Chen, D.[Dihu],
Su, T.[Tao],
Deeply Associative Two-Stage Representations Learning Based on Labels
Interval Extension Loss and Group Loss for Person Re-Identification,
CirSysVideo(30), No. 12, December 2020, pp. 4526-4539.
IEEE DOI
2012
Feature extraction, Pose estimation, Training, Semantics,
Task analysis, Cameras, video surveillance
BibRef
Yu, Y.B.[Yang-Bin],
Zeng, Y.[Ying],
Hu, H.F.[Hai-Feng],
Chen, D.[Dihu],
Two-Branch Asymmetric Model With Alternately Clustering for
Unsupervised Person Re-Identification,
SPLetters(29), 2022, pp. 75-79.
IEEE DOI
2202
Training, Residual neural networks, Person Re-identification,
unsupervised person Re-identification, contrastive learning
BibRef
Huang, Y.[Yewen],
Lian, S.C.[Si-Cheng],
Hu, H.F.[Hai-Feng],
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CirSysVideo(31), No. 5, 2021, pp. 1790-1803.
IEEE DOI
2105
BibRef
Zhou, Q.,
Fan, H.,
Yang, H.,
Su, H.,
Zheng, S.,
Wu, S.,
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Robust and Efficient Graph Correspondence Transfer for Person
Re-Identification,
IP(30), 2021, pp. 1623-1638.
IEEE DOI
2101
Visualization, Semantics, Training, Pattern matching,
Context modeling, Measurement, Cameras,
correspondence template ensemble
BibRef
Liu, Y.,
Zhou, W.,
Liu, J.,
Qi, G.J.,
Tian, Q.,
Li, H.,
An End-to-End Foreground-Aware Network for Person Re-Identification,
IP(30), 2021, pp. 2060-2071.
IEEE DOI
2101
Feature extraction, Cameras, Data models, Body regions, Training,
Visualization, Spatiotemporal phenomena, attention
BibRef
Wang, X.,
Liu, M.,
Raychaudhuri, D.S.,
Paul, S.,
Wang, Y.,
Roy-Chowdhury, A.K.,
Learning Person Re-Identification Models From Videos With Weak
Supervision,
IP(30), 2021, pp. 3017-3028.
IEEE DOI
2102
Videos, Annotations, Labeling, Task analysis, Feature extraction,
Training, Reliability, Video person re-identification,
co-person attention mechanism
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Liu, G.Q.[Gui-Qing],
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Video-based person re-identification by intra-frame and inter-frame
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IVC(106), 2021, pp. 104068.
Elsevier DOI
2102
Person re-identification, Graph neural network,
Intra and inter frame, Body part, Video matching
BibRef
Gu, H.Y.[Hong-Yang],
Fu, G.Y.[Guang-Yuan],
Wang, X.[Xu],
Zhu, J.[Jun],
Learning auto-scale representations for person re-identification,
IVC(112), 2021, pp. 104241.
Elsevier DOI
2107
Person re-identification, Auto-scale learning,
Neural architecture search, AutoML
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Uner, O.C.[Onur Can],
Aslan, C.[Cem],
Ercan, B.[Burak],
Ates, T.[Tayfun],
Celikcan, U.[Ufuk],
Erdem, A.[Aykut],
Erdem, E.[Erkut],
Synthetic18K: Learning Better Representations for Person Re-ID and
Attribute Recognition from 1.4 Million Synthetic Images,
SP:IC(97), 2021, pp. 116335.
Elsevier DOI
2107
Person re-identification, Attribute recognition, Synthetic data
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Yang, X.[Xi],
Liu, L.C.[Liang-Chen],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
A Two-Stream Dynamic Pyramid Representation Model for Video-Based
Person Re-Identification,
IP(30), 2021, pp. 6266-6276.
IEEE DOI
2107
Video sequences, Sampling methods, Feature extraction,
Task analysis, Semantics, Measurement, two-stream network
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Liu, L.C.[Liang-Chen],
Yang, X.[Xi],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Frequency Information Disentanglement Network for Video-Based Person
Re-Identification,
IP(32), 2023, pp. 4287-4298.
IEEE DOI
2308
Frequency-domain analysis, Task analysis, High frequency,
Pedestrians, Frequency conversion, Feature extraction,
feature disentanglement
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Yin, Q.Z.[Qing-Ze],
Wang, G.[Guan'an],
Ding, G.D.[Guo-Dong],
Gong, S.G.[Shao-Gang],
Tang, Z.M.[Zhen-Min],
Multi-View Label Prediction for Unsupervised Learning Person
Re-Identification,
SPLetters(28), 2021, pp. 1390-1394.
IEEE DOI
2108
Training, Trajectory, Noise measurement, Clustering algorithms,
Annotations, Merging, Cameras, Unsupervised learning,
clustering
BibRef
Shu, X.J.[Xiu-Jun],
Li, G.[Ge],
Wei, L.H.[Long-Hui],
Zhong, J.X.[Jia-Xing],
Zang, X.H.[Xiang-Hao],
Zhang, S.L.[Shi-Liang],
Wang, Y.W.[Yao-Wei],
Liang, Y.S.[Yong-Sheng],
Tian, Q.[Qi],
Diverse part attentive network for video-based person
re-identification,
PRL(149), 2021, pp. 17-23.
Elsevier DOI
2108
Person re-identification, Person retrieval, Self-attention
BibRef
Zang, X.H.[Xiang-Hao],
Li, G.[Ge],
Gao, W.[Wei],
Shu, X.J.[Xiu-Jun],
Exploiting robust unsupervised video person re-identification,
IET-IPR(16), No. 3, 2022, pp. 729-741.
DOI Link
2202
BibRef
Zhong, Y.J.[Ying-Ji],
Wang, Y.W.[Yao-Wei],
Zhang, S.L.[Shi-Liang],
Progressive Feature Enhancement for Person Re-Identification,
IP(30), 2021, pp. 8384-8395.
IEEE DOI
2110
Feature extraction, Visualization, Convolutional neural networks,
Training, Detectors, Robustness, Fuses, Person re-identification,
layer-specific supervision
BibRef
Kiran, M.[Madhu],
Bhuiyan, A.[Amran],
Nguyen-Meidine, L.T.[Le Thanh],
Blais-Morin, L.A.[Louis-Antoine],
Ben Ayed, I.[Ismail],
Granger, E.[Eric],
Flow guided mutual attention for person re-identification,
IVC(113), 2021, pp. 104246.
Elsevier DOI
2108
Video surveillance, Person re-identification, Optical flow,
Metric learning, Attention mechanisms
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Bhuiyan, A.[Amran],
Liu, Y.[Yang],
Siva, P.[Parthipan],
Javan, M.[Mehrsan],
Ben Ayed, I.[Ismail],
Granger, E.[Eric],
Pose Guided Gated Fusion for Person Re-identification,
WACV20(2664-2673)
IEEE DOI
2006
Logic gates, Feature extraction, Measurement, Bones,
Machine learning, Benchmark testing
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Wu, G.[Guile],
Zhu, X.T.[Xia-Tian],
Gong, S.G.[Shao-Gang],
Learning hybrid ranking representation for person re-identification,
PR(121), 2022, pp. 108239.
Elsevier DOI
2109
Person re-identification, Ranking representation, Ranking ensemble
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Sun, R.[Rui],
Liang, Q.L.[Qi-Li],
Yang, Z.[Zi],
Zhao, Z.H.[Zheng-Hui],
Zhang, X.D.[Xu-Dong],
Triplet Attention Network for Video-Based Person Re-Identification,
IEICE(E104-D), No. 10, October 2021, pp. 1775-1779.
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Shao, Z.F.[Zhen-Feng],
Wang, J.M.[Jia-Ming],
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Huang, X.[Xiao],
Lv, X.W.[Xian-Wei],
Internal and external spatial-temporal constraints for person
reidentification,
JVCIR(80), 2021, pp. 103302.
Elsevier DOI
2110
Person reidentification, Convolution neural network,
Attention mechanism, Spatial-temporal constraint
BibRef
Wang, B.Q.[Bin-Quan],
Ma, G.Q.[Guo-Qi],
Zhu, M.[Ming],
Fast Momentum Contrast Learning for Unsupervised Person
Re-Identification,
SPLetters(28), 2021, pp. 2073-2077.
IEEE DOI
2111
Training, Dictionaries, Visualization, Feature extraction, Cameras,
Supervised learning, Convolutional neural networks,
representation learning
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Raj, S.S.[S. Sridhar],
Prasad, M.V.N.K.[Munaga V.N.K.],
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Spatio-Temporal association rule based deep annotation-free
clustering (STAR-DAC) for unsupervised person re-identification,
PR(122), 2022, pp. 108287.
Elsevier DOI
2112
Unsupervised person re-identification, Clustering, Labeling,
Spatio-temporal, Deep learning
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Wei, W.Y.[Wen-Yu],
Yang, W.Z.[Wen-Zhong],
Zuo, E.[Enguang],
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Multi-branch network with hierarchical bilinear pooling for person
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IET-Bio(11), No. 1, 2022, pp. 23-34.
DOI Link
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Wei, W.Y.[Wen-Yu],
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Zuo, E.[Enguang],
Qian, Y.Y.[Yun-Yun],
Wang, L.H.[Li-Hua],
Person re-identification based on deep learning: An overview,
JVCIR(82), 2022, pp. 103418.
Elsevier DOI
2201
Person re-identification, Deep learning,
Convolutional neural networks, Attention mechanism
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Shao, J.[Jie],
Ma, X.Y.[Xiao-Yu],
Hierarchical Pseudo Labeling Based Embranchment Learning for One-Shot
Person Re-Identification,
SPLetters(29), 2022, pp. 434-438.
IEEE DOI
2202
Artificial neural networks, Training, Feature extraction,
Task analysis, Labeling, Data mining, Reliability, Center Loss,
one-shot person re-ID
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Gong, X.[Xun],
Yao, Z.[Zu],
Li, X.[Xin],
Fan, Y.[Yueqiao],
Luo, B.[Bin],
Fan, J.F.[Jian-Feng],
Lao, B.[Boji],
LAG-Net: Multi-Granularity Network for Person Re-Identification via
Local Attention System,
MultMed(24), 2022, pp. 217-229.
IEEE DOI
2202
Feature extraction, Semantics, Pose estimation, Task analysis, Fans,
Visualization, Fuses, Person re-identification, local attention,
deep learning
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Lu, J.J.[Jian-Jie],
Zhang, W.D.[Wei-Dong],
Yin, H.B.[Hai-Bing],
Generate and Purify:
Efficient Person Data Generation for Re-Identification,
MultMed(24), 2022, pp. 558-566.
IEEE DOI
2202
Training, Convolutional codes, Data models, Image synthesis,
Heating systems, Generative adversarial networks, Training data,
re-identification
BibRef
Ming, Z.Q.[Zhang-Qiang],
Zhu, M.[Min],
Wang, X.K.[Xiang-Kun],
Zhu, J.[Jiamin],
Cheng, J.L.[Jun-Long],
Gao, C.R.[Cheng-Rui],
Yang, Y.[Yong],
Wei, X.Y.[Xiao-Yong],
Deep learning-based person re-identification methods:
A survey and outlook of recent works,
IVC(119), 2022, pp. 104394.
Elsevier DOI
2202
Survey, Re-Identification. Person re-identification, Deep metric learning,
Local feature learning, Generative adversarial learning,
Sequence feature learning
BibRef
Si, T.Z.[Tong-Zhen],
He, F.Z.[Fa-Zhi],
Wu, H.R.[Hao-Ran],
Duan, Y.S.[Yan-Song],
Spatial-Driven Features Based on Image Dependencies for Person
Re-Identification,
PR(124), 2022, pp. 108462.
Elsevier DOI
2203
Person re-identification, Spatial dependencies,
Recurrent neural network, Deep learning
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Gu, H.Y.[Hong-Yang],
Li, J.M.[Jian-Min],
Fu, G.Y.[Guang-Yuan],
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Zhu, J.[Jun],
Loss function search for person re-identification,
PR(124), 2022, pp. 108432.
Elsevier DOI
2203
Person re-identification, Margin-based softmax loss,
Loss function search, AutoML
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Gu, H.Y.[Hong-Yang],
Li, J.M.[Jian-Min],
Fu, G.Y.[Guang-Yuan],
Wong, C.[Chifong],
Chen, X.H.[Xing-Hao],
Zhu, J.[Jun],
AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss
Function for Person Re-identification,
CVPR22(4734-4743)
IEEE DOI
2210
Protocols, Computational modeling, Evolutionary computation,
Task analysis, Recognition: detection,
Vision applications and systems
BibRef
Li, Q.[Qing],
Peng, X.J.[Xiao-Jiang],
Qiao, Y.[Yu],
Hao, Q.[Qi],
Unsupervised person re-identification with multi-label learning
guided self-paced clustering,
PR(125), 2022, pp. 108521.
Elsevier DOI
2203
MLC, Multi-scale network, Multi-label learning,
Self-paced clustering, Unsupervised person Re-ID
BibRef
Chen, Y.F.[Yi-Fan],
Wang, H.[Han],
Sun, X.L.[Xiao-Lu],
Fan, B.[Bin],
Tang, C.[Chu],
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Deep attention aware feature learning for person re-Identification,
PR(126), 2022, pp. 108567.
Elsevier DOI
2204
Person re-identification, Attention learning, Multi-task learning
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Ye, M.[Mang],
Shen, J.B.[Jian-Bing],
Lin, G.J.[Gao-Jie],
Xiang, T.[Tao],
Shao, L.[Ling],
Hoi, S.C.H.[Steven C. H.],
Deep Learning for Person Re-Identification: A Survey and Outlook,
PAMI(44), No. 6, June 2022, pp. 2872-2893.
IEEE DOI
2205
Survey, Re-Identification. Annotations, Cameras, Training, Training data, Feature extraction,
Data models, Deep learning, Person re-identification,
deep learning
BibRef
Liu, C.[Chuang],
Yang, H.[Hua],
Zhou, Q.[Qin],
Zheng, S.[Shibao],
Making person search enjoy the merits of person re-identification,
PR(127), 2022, pp. 108654.
Elsevier DOI
2205
Person search, Person re-identification, Knowledge transfer,
Teacher-guided disentangling network, Context ranking
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Yang, W.P.[Wei-Ping],
Zhang, D.[De],
Unsupervised person re-identification by part-compensated soft
multi-label learning,
IET-IPR(16), No. 7, 2022, pp. 2012-2024.
DOI Link
2205
BibRef
Chen, Y.[Ying],
Xia, S.X.[Shi-Xiong],
Zhao, J.Q.[Jia-Qi],
Zhou, Y.[Yong],
Niu, Q.[Qiang],
Yao, R.[Rui],
Zhu, D.J.[Dong-Jun],
Liu, D.J.[Dong-Jingdian],
ResT-ReID: Transformer block-based residual learning for person
re-identification,
PRL(157), 2022, pp. 90-96.
Elsevier DOI
2205
Person re-identification, Vision transformer,
Graph convolution networks, Self-attention strategy
BibRef
Huang, Y.[Yewen],
Lian, S.C.[Si-Cheng],
Hu, H.F.[Hai-Feng],
AVPL: Augmented visual perception learning for person
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PR(129), 2022, pp. 108736.
Elsevier DOI
2206
Person Re-identification,
Augmented visual perception learning, Batch attention, Two-stream hypothesis
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Yin, J.H.[Jun-Hui],
Xie, J.Y.[Ji-Yang],
Ma, Z.Y.[Zhan-Yu],
Guo, J.[Jun],
MPCCL: Multiview predictive coding with contrastive learning for
person re-identification,
PR(129), 2022, pp. 108710.
Elsevier DOI
2206
Person re-identification, Kernel density estimation,
Representation construction, Contrastive learning
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Yao, Y.M.[Ying-Mao],
Jiang, X.Y.[Xiao-Yan],
Fujita, H.[Hamido],
Fang, Z.J.[Zhi-Jun],
A sparse graph wavelet convolution neural network for video-based
person re-identification,
PR(129), 2022, pp. 108708.
Elsevier DOI
2206
Video-based person re-identification, Weighted sparse graph,
Graph wavelet convolution neural network
BibRef
Li, M.K.[Ming-Kun],
Li, C.G.[Chun-Guang],
Guo, J.[Jun],
Cluster-Guided Asymmetric Contrastive Learning for Unsupervised
Person Re-Identification,
IP(31), 2022, pp. 3606-3617.
IEEE DOI
2206
Image color analysis, Training, Proposals, Representation learning,
Neural networks, Gray-scale, Measurement, cluster refinement
BibRef
Bai, S.T.[Shu-Tao],
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Huang, R.[Rui],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
SANet: Statistic Attention Network for Video-Based Person
Re-Identification,
CirSysVideo(32), No. 6, June 2022, pp. 3866-3879.
IEEE DOI
2206
Feature extraction, Task analysis, Computational modeling,
Visualization, Video sequences, Fuses, high-order statistics
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Huang, Z.H.[Zong-Heng],
He, B.T.[Bo-Tao],
Yang, B.[Bo],
Gao, C.X.[Chang-Xin],
Sang, N.[Nong],
Norm-Aware Margin Assignment for Person Re-Identification,
SPLetters(29), 2022, pp. 1292-1296.
IEEE DOI
2206
Training, Image quality, Measurement, Correlation, Visualization,
Feature extraction, Benchmark testing, Deep learning, metric learning
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Chen, Y.[Yiyu],
Fan, Z.[Zheyi],
Chen, S.[Shuni],
Consistent camera-invariant and noise-tolerant learning for
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Elsevier DOI
2206
Person re-identification, Meta learning, Noise pseudo label, Camera variations
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Zhang, F.P.[Fu-Ping],
Zhang, T.Z.[Tian-Zhao],
Sun, R.X.[Ruo-Xi],
Huang, C.[Chao],
Wei, J.M.[Jian-Ming],
An Efficient Axial-Attention Network for Video-Based Person
Re-Identification,
SPLetters(29), 2022, pp. 1352-1356.
IEEE DOI
2206
Transforms, Sun, Feature extraction, Computational efficiency,
Computational complexity, Transformers, Spatial resolution, pyramid pooling
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Liu, T.Y.[Tian-Yang],
Lin, Y.T.[Yu-Tian],
Du, B.[Bo],
Unsupervised Person Re-Identification With Stochastic Training
Strategy,
IP(31), 2022, pp. 4240-4250.
IEEE DOI
2207
Cameras, Training, Stochastic processes, Feature extraction,
Task analysis, Noise measurement, Pipelines,
contrastive learning
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Yang, F.[Fan],
Li, W.[Wei],
Liang, B.B.[Bin-Bin],
Han, S.C.[Song-Chen],
Zhu, X.[Xuan],
Multi-stage attention network for video-based person
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IET-CV(16), No. 5, 2022, pp. 445-455.
DOI Link
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image processing, object detection,
object tracking, pedestrians, video retrieval, video surveillance
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Wu, L.[Lin],
Liu, D.[Deyin],
Zhang, W.Y.[Wen-Ying],
Chen, D.P.[Da-Peng],
Ge, Z.Y.[Zong-Yuan],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
Shen, J.[Jialie],
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person
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IP(31), 2022, pp. 4803-4816.
IEEE DOI
2208
Training, Unsupervised learning, Australia, Annotations, Convolution,
Cameras, Person re-identification, pseudo pair construction,
self-similarity learning
BibRef
Bhuiyan, A.[Amran],
An, A.[Aijun],
Huang, J.X.J.[Jimmy Xiang-Ji],
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Optimizing domain-generalizable ReID through non-parametric
normalization,
PR(162), 2025, pp. 111356.
Elsevier DOI Code:
WWW Link.
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Person re-identification, Recognition, Deep learning,
Domain generalization, Instance normalization
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Li, W.L.[Wan-Lu],
Zhang, Y.Z.[Yun-Zhou],
Shi, W.D.[Wei-Dong],
Coleman, S.[Sonya],
A CAM-Guided Parameter-Free Attention Network for Person
Re-Identification,
SPLetters(29), 2022, pp. 1559-1563.
IEEE DOI
2208
Feature extraction, Training, Convolution, Cameras, Data mining,
Covariance matrices, Computational modeling, parameter-free
BibRef
Zhang, J.[Ji],
Ainam, J.P.[Jean-Paul],
Song, W.[Wenai],
Zhao, L.H.[Li-Hui],
Wang, X.[Xin],
Li, H.Z.[Hong-Zhou],
Learning global and local features using graph neural networks for
person re-identification,
SP:IC(107), 2022, pp. 116744.
Elsevier DOI
2208
Person re-identification, Body-part, Alignment, Graph neural networks
BibRef
Qin, W.C.[Wen-Cheng],
Huang, B.J.[Bao-Jin],
Qin, P.Z.[Pin-Zhong],
Huang, Z.Y.[Zhi-Yong],
Zhong, D.[Daidi],
Learning diverse and deep clues for person reidentification,
IVC(126), 2022, pp. 104551.
Elsevier DOI
2209
Attention network, convolutional neural network,
Grouped pyramid, Global feature, Local features, Person re-identification
BibRef
Huang, Y.K.[Yu-Kun],
Fu, X.Y.[Xue-Yang],
Li, L.[Liang],
Zha, Z.J.[Zheng-Jun],
Learning Degradation-Invariant Representation for Robust Real-World
Person Re-Identification,
IJCV(130), No. 11, November 2022, pp. 2770-2796.
Springer DOI
2210
BibRef
Huang, Y.K.[Yu-Kun],
Zha, Z.J.[Zheng-Jun],
Fu, X.Y.[Xue-Yang],
Hong, R.,
Li, L.[Liang],
Real-World Person Re-Identification via Degradation Invariance
Learning,
CVPR20(14072-14082)
IEEE DOI
2008
Degradation, Feature extraction, Lighting, Image resolution,
Task analysis, Image reconstruction, Image restoration
BibRef
Mao, Z.[Zhu],
Wang, X.[Xiao],
Xu, X.[Xin],
Wang, Z.[Zheng],
Lin, C.W.[Chia-Wen],
Continuous and Unified Person Re-Identification,
SPLetters(29), 2022, pp. 1983-1987.
IEEE DOI
2210
Task analysis, Training, Data models, Predictive models,
Optimization, Training data, Feature extraction, alternate learning
BibRef
Eom, C.[Chanho],
Lee, W.[Wonkyung],
Lee, G.[Geon],
Ham, B.[Bumsub],
Disentangled Representations for Short-Term and Long-Term Person
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PAMI(44), No. 12, December 2022, pp. 8975-8991.
IEEE DOI
2212
Feature extraction, Task analysis, Clutter, Interpolation,
Image color analysis, Generative adversarial networks,
generative adversarial learning
BibRef
Xi, J.L.[Jia-Li],
Huang, J.Q.[Jian-Qiang],
Zheng, S.[Shibao],
Zhou, Q.[Qin],
Schiele, B.[Bernt],
Hua, X.S.[Xian-Sheng],
Sun, Q.[Qianru],
Learning comprehensive global features in person re-identification:
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PR(134), 2023, pp. 109068.
Elsevier DOI
2212
Person re-identification, Baseline, Comprehensive
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Xiang, J.[Jun],
Huang, Z.Y.[Zi-Yuan],
Jiang, X.P.[Xiao-Ping],
Hou, J.H.[Jian-Hua],
Similarity learning with deep CRF for person re-identification,
PR(135), 2023, pp. 109151.
Elsevier DOI
2212
Person re-identification, Deep learning,
Conditional random field (CRF), Group-wise similarities
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Zhao, Y.[Yu],
Shu, Q.Y.[Qiao-Yuan],
Shi, X.[Xi],
Dual-level contrastive learning for unsupervised person
re-identification,
IVC(129), 2023, pp. 104607.
Elsevier DOI
2301
Unsupervised person re-ID, Instance discrimination,
Unsupervised feature learning, Contrastive learning
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Zhao, Y.[Yu],
Shu, Q.Y.[Qiao-Yuan],
Shi, X.[Xi],
Zhan, J.[Jian],
Unsupervised person re-identification by dynamic hybrid contrastive
learning,
IVC(137), 2023, pp. 104786.
Elsevier DOI
2309
Unsupervised person re-identification, Contrastive learning,
Intra-category similarity, Inter-instance discrimination
BibRef
Peng, J.J.[Jin-Jia],
Yu, J.Z.[Jia-Zuo],
Jiang, G.Q.[Guang-Qi],
Wang, H.B.[Hui-Bing],
Qi, J.[Jing],
Joint learning with diverse knowledge for re-identification,
SP:IC(113), 2023, pp. 116922.
Elsevier DOI
2303
Diversity knowledge, Joint learning, Re-identification
BibRef
Bukhari, M.[Maryam],
Yasmin, S.[Sadaf],
Naz, S.[Sheneela],
Maqsood, M.[Muazzam],
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Rho, S.[Seungmin],
Language and vision based person re-identification for surveillance
systems using deep learning with LIP layers,
IVC(132), 2023, pp. 104658.
Elsevier DOI
2303
Person re-identification, Surveillance,
Language and vision based Re-ID, Deep learning
BibRef
Yin, J.H.[Jun-Hui],
Zhang, X.Y.[Xin-Yu],
Ma, Z.Y.[Zhan-Yu],
Guo, J.[Jun],
Liu, Y.F.[Yi-Fan],
A Real-Time Memory Updating Strategy for Unsupervised Person
Re-Identification,
IP(32), 2023, pp. 2309-2321.
IEEE DOI
2305
Clustering algorithms, Training, Real-time systems,
Feature extraction, Representation learning, memory bank
BibRef
Cao, M.[Min],
Ding, C.[Cong],
Chen, C.[Chen],
Dou, H.[Hao],
Hu, X.[Xiyuan],
Yan, J.C.[Jun-Chi],
Progressive Context-Aware Graph Feature Learning for Target
Re-Identification,
MultMed(25), 2023, pp. 1230-1242.
IEEE DOI
2305
Feature extraction, Representation learning, Task analysis,
Message passing, Data mining, Semantics, Context modeling,
graph feature learning
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Chen, H.[Hao],
Wang, Y.[Yaohui],
Lagadec, B.[Benoit],
Dantcheva, A.[Antitza],
Bremond, F.[Francois],
Learning Invariance From Generated Variance for Unsupervised Person
Re-Identification,
PAMI(45), No. 6, June 2023, pp. 7494-7508.
IEEE DOI
2305
Image color analysis, Cameras, Shape, Lighting, Generators,
Generative adversarial networks, Contrastive learning,
representation disentanglement
BibRef
Zhao, J.[Jing],
Liao, J.[Jie],
Yuan, J.[Jin],
HSP-MFL: A High-level Semantic Property driven Multi-task Feature
Learning Network for unsupervised person Re-ID,
JVCIR(93), 2023, pp. 103828.
Elsevier DOI
2305
Unsupervised person re-identification, Multi-task learning,
Feature fusion, Discriminative feature learning
BibRef
Wang, D.W.[Deng-Wen],
Chen, Y.B.[Yan-Bing],
Wang, W.M.[Wang-Meng],
Tie, Z.X.[Zhi-Xin],
Fang, X.[Xian],
Ke, W.[Wei],
Uncertainty-guided joint attention and contextual relation network
for person re-identification,
JVCIR(93), 2023, pp. 103822.
Elsevier DOI
2305
Person re-identification, Uncertainty-guided joint attention,
Contextual relation network, Relation between features, Attention mechanism
BibRef
Zheng, D.Y.[Ding-Yuan],
Xiao, J.[Jimin],
Sun, M.J.[Ming-Jie],
Bai, H.H.[Hui-Hui],
Hou, J.H.[Jun-Hui],
Plausible Proxy Mining With Credibility for Unsupervised Person
Re-Identification,
CirSysVideo(33), No. 7, July 2023, pp. 3308-3318.
IEEE DOI
2307
Cameras, Impurities, Training, Feature extraction, Visualization,
Task analysis, Annotations, Person re-identification, supervision signals
BibRef
Ma, H.Y.[Hao-Yan],
Li, X.[Xiang],
Yuan, X.[Xia],
Zhao, C.X.[Chun-Xia],
Denseformer: A dense transformer framework for person
re-identification,
IET-CV(17), No. 5, 2023, pp. 527-536.
DOI Link
2309
BibRef
Zhu, S.D.[Shang-Dong],
Zhang, Y.Z.[Yun-Zhou],
Feng, Y.[Yu],
GW-net: An efficient grad-CAM consistency neural network with
weakening of random erasing features for semi-supervised person
re-identification,
IVC(137), 2023, pp. 104790.
Elsevier DOI
2309
Semi-supervised person re-identification,
Grad-CAM consistency regularization module, Data augmentation
BibRef
Zhou, Y.H.[Yun-Hao],
Wang, Y.[Yi],
Chau, L.P.[Lap-Pui],
Moving Towards Centers: Re-Ranking With Attention and Memory for
Re-Identification,
MultMed(25), 2023, pp. 3456-3468.
IEEE DOI
2309
BibRef
Yang, K.W.[Kai-Wen],
Tian, X.[Xinmei],
Domain-Class Correlation Decomposition for Generalizable Person
Re-Identification,
MultMed(25), 2023, pp. 3386-3396.
IEEE DOI
2309
BibRef
Huang, Z.Y.[Zhi-Yong],
Qin, P.[Pinzhong],
Yu, Z.[Zhi],
Tahsin, L.[Lamia],
Wang, M.Y.[Meng-Yao],
Liu, M.[Man],
Transformer-based feature interactor for person re-identification
with margin self-punishment loss,
IVC(137), 2023, pp. 104752.
Elsevier DOI
2309
Person re-identification, Attention mechanism,
Representation learning, Transformer
BibRef
Wang, D.[Dengwen],
Chen, Y.B.[Yan-Bing],
Tao, L.B.[Ling-Bing],
Hu, C.[Chentao],
Tie, Z.X.[Zhi-Xin],
Ke, W.[Wei],
AEA-Net: Affinity-supervised entanglement attentive network for person
re-identification,
PRL(172), 2023, pp. 237-244.
Elsevier DOI
2309
Person re-identification, Affinity-supervised attention,
Affinity relationship, Tangle hybrid loss
BibRef
Zhang, Y.Z.[Yun-Zuo],
Kang, W.[Weili],
Liu, Y.[Yameng],
Zhu, P.F.[Peng-Fei],
Multi-Scale Semantic and Detail Extraction Network for Lightweight
Person Re-Identification,
CVIU(236), 2023, pp. 103813.
Elsevier DOI
2310
Person re-identification, Multi-scale feature, Lightweight network
BibRef
Jiang, J.H.[Jin-Hua],
Zhang, W.F.[Wen-Feng],
Ran, R.S.[Rui-Sheng],
Hu, W.[Wei],
Dai, J.Y.[Jiang-Yan],
Multi-Scale Transformer-Based Matching Network for Generalizable
Person Re-Identification,
SPLetters(30), 2023, pp. 1277-1281.
IEEE DOI
2310
BibRef
Gong, T.T.[Tian-Tian],
Chen, K.X.[Kai-Xiang],
Zhang, L.Y.[Li-Yan],
Wang, J.S.[Jun-Sheng],
Debiased Contrastive Curriculum Learning for Progressive
Generalizable Person Re-Identification,
CirSysVideo(33), No. 10, October 2023, pp. 5947-5958.
IEEE DOI
2310
BibRef
Wang, P.Y.[Ping-Yu],
Zhao, Z.C.[Zhi-Cheng],
Su, F.[Fei],
Meng, H.Y.[Hong-Ying],
LTReID: Factorizable Feature Generation With Independent Components
for Long-Tailed Person Re-Identification,
MultMed(25), 2023, pp. 4610-4622.
IEEE DOI
2311
BibRef
Pang, Z.Q.[Zhi-Qi],
Zhao, L.L.[Ling-Ling],
Liu, Q.Y.[Qiu-Yang],
Wang, C.Y.[Chun-Yu],
Camera Invariant Feature Learning for Unsupervised Person
Re-Identification,
MultMed(25), 2023, pp. 6171-6182.
IEEE DOI
2311
BibRef
Deng, Z.L.[Ze-Lin],
Liu, S.[Shaobao],
He, P.[Pei],
Song, Y.[Yun],
Tang, Q.[Qiang],
Li, W.[WenBo],
A bidirectional fusion branch network with penalty term-based trihard
loss for person re-identification,
JVCIR(97), 2023, pp. 103972.
Elsevier DOI
2312
Deep learning, Person re-identification, Feature pyramid,
Bidirectional fusion branch network, Penalty term-based trihard loss
BibRef
Liu, Y.J.[Yu-Jie],
Wang, Z.Y.[Zhao-Yong],
Zhang, W.X.[Wen-Xin],
Li, Z.M.[Zong-Min],
DGSN: Learning how to segment pedestrians from other datasets for
occluded person re-identification,
IVC(140), 2023, pp. 104844.
Elsevier DOI
2312
Person ReID, Segmentation, Occluded, Image enhancement, Domain generalization
BibRef
Chen, Y.C.[Yong-Chun],
Liu, M.[Min],
Wang, X.P.[Xue-Ping],
Wang, F.[Fei],
Liu, A.A.[An-An],
Wang, Y.N.[Yao-Nan],
Refining Noisy Labels With Label Reliability Perception for Person
Re-Identification,
MultMed(25), 2023, pp. 9479-9490.
IEEE DOI
2312
BibRef
Liu, M.[Min],
Wang, F.[Fei],
Wang, X.P.[Xue-Ping],
Wang, Y.N.[Yao-Nan],
Roy-Chowdhury, A.K.[Amit K.],
A Two-Stage Noise-Tolerant Paradigm for Label Corrupted Person
Re-Identification,
PAMI(46), No. 7, July 2024, pp. 4944-4956.
IEEE DOI
2406
Noise measurement, Training, Annotations, Noise robustness,
Task analysis, Robustness, Reliability engineering,
person re-identification
BibRef
Zhang, G.Q.[Guo-Qing],
Li, J.Q.[Ji-Qiang],
Ye, Z.[Zhonglin],
Unsupervised Joint Contrastive Learning for Aerial Person
Re-Identification and Remote Sensing Image Classification,
RS(16), No. 2, 2024, pp. 422.
DOI Link
2402
BibRef
Huang, Y.[Yan],
Huang, Y.[Yan],
Zhang, Z.[Zhang],
Wu, Q.[Qiang],
Zhong, Y.[Yi],
Wang, L.[Liang],
Enhancing Person Re-Identification Performance Through In Vivo
Learning,
IP(33), 2024, pp. 639-654.
IEEE DOI
2402
Task analysis, In vivo, Training data, Training, Data models,
Pipelines, Biology, Person re-identification, in vivo learning,
boosting performance
BibRef
Niu, X.[Xin],
Li, E.[Enyi],
Liu, J.C.[Jin-Chao],
Wang, Y.[Yan],
Osadchy, M.[Margarita],
Fang, Y.C.[Yong-Chun],
Mind the Gap: Learning Modality-Agnostic Representations With a
Cross-Modality UNet,
IP(33), 2024, pp. 655-670.
IEEE DOI
2402
Face recognition, Task analysis, Image reconstruction,
Feature extraction, Bridges, Semantics, Law enforcement,
person re-identification
BibRef
Zhou, S.[Shuren],
Lei, N.[Nanfang],
Zhou, J.R.[Jia-Rui],
Xiong, J.[Jiasi],
Zhang, J.M.[Jian-Ming],
The triple refinement of self-paced learning style for unsupervised
cross-domain person re-identification,
IVC(141), 2024, pp. 104870.
Elsevier DOI
2402
Self-paced learning, Data refinement, Person re-identification,
Mutually learning models
BibRef
Tan, W.T.[Wen-Tao],
Ding, C.X.[Chang-Xing],
Wang, P.F.[Peng-Fei],
Gong, M.M.[Ming-Ming],
Jia, K.[Kui],
Style Interleaved Learning for Generalizable Person Re-Identification,
MultMed(26), 2024, pp. 1600-1612.
IEEE DOI
2402
Feature extraction, Training, Backpropagation,
Computational modeling, Data models, Data mining, person re-identification
BibRef
Cao, M.[Min],
Ding, C.[Cong],
Chen, C.[Chen],
Peng, S.[Silong],
Context-aided unicity matching for person re-identification,
JVCIR(99), 2024, pp. 104077.
Elsevier DOI
2403
Person re-identification, Unicity matching,
Contextual information, Graph neural network
BibRef
Liu, F.[Fangyi],
Ye, M.[Mang],
Du, B.[Bo],
Domain generalized federated learning for Person Re-identification,
CVIU(241), 2024, pp. 103969.
Elsevier DOI
2403
Domain generalization (DG), Data privacy,
Federated Person Re-identification (ReID)
BibRef
Wang, G.[Guan'an],
Huang, X.W.[Xiao-Wen],
Gong, S.G.[Shao-Gang],
Zhang, J.[Jian],
Gao, W.[Wen],
Faster Person Re-Identification:
One-Shot-Filter and Coarse-to-Fine Search,
PAMI(46), No. 5, May 2024, pp. 3013-3030.
IEEE DOI
2404
Optimization, Search problems, Binary codes,
Principal component analysis, Measurement, Hamming distances, deep learning
BibRef
Liu, M.[Min],
Bian, Y.[Yuan],
Liu, Q.[Qing],
Wang, X.P.[Xue-Ping],
Wang, Y.[Yaonan],
Weakly Supervised Tracklet Association Learning With Video Labels for
Person Re-Identification,
PAMI(46), No. 5, May 2024, pp. 3595-3607.
IEEE DOI
2404
Target tracking, Labeling, Data models, Noise measurement,
Adaptation models, Training, Task analysis, tracklet association learning
BibRef
Chen, Z.[Zhaoru],
Fan, Z.[Zheyi],
Chen, Y.[Yiyu],
Zhu, Y.X.[Yi-Xuan],
Camera-aware cluster-instance joint online learning for unsupervised
person re-identification,
PR(151), 2024, pp. 110359.
Elsevier DOI
2404
Unsupervised person re-identification, Camera variation,
Online pseudo-label, Contrastive learning
BibRef
Yang, X.[Xi],
Wang, X.[Xian],
Liu, L.C.[Liang-Chen],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
STFE: A Comprehensive Video-Based Person Re-Identification Network
Based on Spatio-Temporal Feature Enhancement,
MultMed(26), 2024, pp. 7237-7249.
IEEE DOI
2405
Feature extraction, Transformers, Task analysis, Pedestrians,
Frequency-domain analysis, Video sequences,
video-based person re-identification (Re-ID)
BibRef
Zhu, W.J.[Wen-Jie],
Peng, B.[Bo],
Yan, W.Q.[Wei Qi],
Dual Knowledge Distillation on Multiview Pseudo Labels for
Unsupervised Person Re-Identification,
MultMed(26), 2024, pp. 7359-7371.
IEEE DOI
2405
Training, Task analysis, Reliability, Cameras, Training data,
Noise measurement, Multiprotocol label switching, self-knowledge distillation
BibRef
Luo, X.[Xi],
Jiang, M.[Min],
Kong, J.[Jun],
Tao, X.F.[Xue-Feng],
Hierarchical Camera-Aware Contrast Extension for Unsupervised Person
Re-Identification,
MultMed(26), 2024, pp. 7636-7648.
IEEE DOI
2405
Cameras, Task analysis, Training, Self-supervised learning,
Optimization, Noise measurement, Pedestrians, instances extension
BibRef
Luo, Q.[Qian],
Shao, J.[Jie],
Dang, W.L.[Wan-Li],
Wang, C.[Chao],
Cao, L.[Libo],
Zhang, T.[Tao],
An efficient feature pyramid attention network for person
re-identification,
IVC(145), 2024, pp. 104963.
Elsevier DOI
2405
Person re-identification, Convolutional neural network,
Feature pyramid, Attention mechanism
BibRef
Li, Y.P.[Yan-Ping],
Liu, Y.Z.[Yi-Zhang],
Zhang, H.Y.[Hong-Yun],
Zhao, C.R.[Cai-Rong],
Wei, Z.H.[Zhi-Hua],
Miao, D.Q.[Duo-Qian],
Occlusion-Aware Transformer With Second-Order Attention for Person
Re-Identification,
IP(33), 2024, pp. 3200-3211.
IEEE DOI
2405
Pedestrians, Transformers, Feature extraction, Semantics, Entropy,
Uncertainty, Computational modeling, Second-order attention
BibRef
Fu, H.Y.[Hui-Yuan],
Cui, K.[Kuilong],
Wang, C.M.[Chuan-Ming],
Qi, M.[Mengshi],
Ma, H.D.[Hua-Dong],
Mutual Distillation Learning for Person Re-Identification,
MultMed(26), 2024, pp. 8981-8995.
IEEE DOI
2408
Feature extraction, Training, Semantics, Cameras, Telecommunications,
Task analysis, Reliability, Person re-identification, distillation learning
BibRef
Wang, T.[Tao],
Liu, M.Y.[Meng-Yuan],
Liu, H.[Hong],
Li, W.H.[Wen-Hao],
Ban, M.[Miaoju],
Guo, T.Y.[Tian-Yu],
Li, Y.[Yidi],
Feature Completion Transformer for Occluded Person Re-Identification,
MultMed(26), 2024, pp. 8529-8542.
IEEE DOI
2408
Feature extraction, Transformers, Training, Pedestrians, Semantics, Decoding,
Task analysis, Person re-identification, transformer, feature completion
BibRef
Huang, B.L.[Bai-Liang],
Qi, X.L.[Xiao-Long],
Chen, B.[Bin],
Cross-modal feature learning and alignment network for text-image
person re-identification,
JVCIR(103), 2024, pp. 104219.
Elsevier DOI
2409
Machine vision, Deep learning, Cross modal, Person re-identification
BibRef
Gu, H.J.[Hong-Jian],
Zou, W.X.[Wen-Xuan],
Cheng, K.[Keyang],
Wu, B.[Bin],
Ghafoor, H.A.[Humaira Abdul],
Zhan, Y.Z.[Yong-Zhao],
Person re-identification via deep compound eye network and pose
repair module,
IET-CV(18), No. 6, 2024, pp. 826-841.
DOI Link
2409
neural nets
BibRef
Ji, H.X.[Hao-Xuanye],
Wang, L.[Le],
Zhou, S.P.[San-Ping],
Tang, W.[Wei],
Hua, G.[Gang],
Disentangled Sample Guidance Learning for Unsupervised Person
Re-Identification,
IP(33), 2024, pp. 5144-5158.
IEEE DOI Code:
WWW Link.
2410
Training, Vectors, Clothing, Feature extraction, Cameras, Visualization,
Iterative methods, Person re-identification, disentangled samples
BibRef
Hu, H.Z.[He-Zhen],
Dong, X.Y.[Xiao-Yi],
Bao, J.M.[Jian-Min],
Chen, D.D.[Dong-Dong],
Yuan, L.[Lu],
Chen, D.[Dong],
Li, H.Q.[Hou-Qiang],
PersonMAE: Person Re-Identification Pre-Training With Masked
AutoEncoders,
MultMed(26), 2024, pp. 10029-10040.
IEEE DOI
2410
Task analysis, Pedestrians, Semantics, Robustness, Decoding,
Visualization, Image color analysis,
pre-training
BibRef
Fu, D.P.[Deng-Pan],
Chen, D.D.[Dong-Dong],
Yang, H.[Hao],
Bao, J.M.[Jian-Min],
Yuan, L.[Lu],
Zhang, L.[Lei],
Li, H.Q.[Hou-Qiang],
Wen, F.[Fang],
Chen, D.[Dong],
Large-Scale Pre-training for Person Re-identification with Noisy
Labels,
CVPR22(01-11)
IEEE DOI
2210
Computational modeling, Machine vision, Prototypes, Manuals,
Performance gain, Noise measurement,
Self- semi- meta- unsupervised learning
BibRef
Chen, K.X.[Kai-Xiang],
Fang, P.F.[Peng-Fei],
Ye, Z.[Zi],
Zhang, L.Y.[Li-Yan],
Multi-Scale Explicit Matching and Mutual Subject Teacher Learning for
Generalizable Person Re-Identification,
CirSysVideo(34), No. 9, September 2024, pp. 8881-8895.
IEEE DOI
2410
Kernel, Data models, Training, Protocols, Task analysis, Pedestrians,
Feature extraction, Person re-identification,
mutual-teacher
BibRef
Zhang, W.[Wei],
Ye, P.J.[Pei-Jun],
Su, T.[Tao],
Chen, D.[Dihu],
Sparse-attention augmented domain adaptation for unsupervised person
re-identification,
PRL(187), 2025, pp. 8-13.
Elsevier DOI
2501
Computational primitive, Self-attention, Domain adaptation,
Person re-identification
BibRef
Tao, X.F.[Xue-Feng],
Kong, J.[Jun],
Jiang, M.[Min],
Lu, M.[Ming],
Mian, A.[Ajmal],
Unsupervised Learning of Intrinsic Semantics With Diffusion Model for
Person Re-Identification,
IP(33), 2024, pp. 6705-6719.
IEEE DOI Code:
WWW Link.
2501
Semantics, Transformers, Diffusion models, Noise reduction,
Diffusion processes, Noise measurement, Computational modeling,
patch semantic consistency loss
BibRef
Wang, Q.[Qiang],
Huang, Z.H.[Zhi-Hong],
Fan, H.J.[Hui-Jie],
Fu, S.P.[Sheng-Peng],
Tang, Y.D.[Yan-Dong],
Unsupervised person re-identification based on adaptive information
supplementation and foreground enhancement,
IET-IPR(18), No. 14, 2024, pp. 4680-4694.
DOI Link
2501
image processing, image recognition, unsupervised learning
BibRef
Han, H.[Hua],
Zhou, M.C.[Meng-Chu],
Zhang, Y.J.[Yu-Jin],
Can Virtual Samples Solve Small Sample Size Problem of KISSME in
Pedestrian Re-Identification of Smart Transportation?,
ITS(21), No. 9, September 2020, pp. 3766-3776.
IEEE DOI
2008
Keep-It-Simple-and-Straightforward Metric Learning.
Covariance matrices, Measurement, Feature extraction, Training,
Eigenvalues and eigenfunctions, Surveillance, Estimation,
KISSME
BibRef
Pandeeswari, R.M.A.[R. Mallika Alias],
Rajakumar, G.,
Deep intelligent technique for person Re-identification system in
surveillance images,
PR(162), 2025, pp. 111349.
Elsevier DOI
2503
Person re-identification, Googlenet,
Horned lizard optimization, Preprocessing Accuracy
BibRef
Wang, Y.H.[Yu-Hao],
Zhang, P.P.[Ping-Ping],
Liu, X.[Xuehu],
Tu, Z.Z.[Zheng-Zheng],
Lu, H.C.[Hu-Chuan],
Unity Is Strength: Unifying Convolutional and Transformeral Features
for Better Person Re-Identification,
ITS(26), No. 3, March 2025, pp. 3713-3723.
IEEE DOI Code:
WWW Link.
2503
Transformers, Feature extraction, Encoding,
Identification of persons, Fuses, Stacking, deep feature fusion
BibRef
Liu, X.[Xuehu],
Zhang, P.P.[Ping-Ping],
Yu, C.Y.[Chen-Yang],
Lu, H.C.[Hu-Chuan],
Yang, X.Y.[Xiao-Yun],
Watching You: Global-guided Reciprocal Learning for Video-based
Person Re-identification,
CVPR21(13329-13338)
IEEE DOI
2111
Correlation, Codes, Video sequences, Semantics,
Estimation, Benchmark testing
BibRef
Zhang, G.F.[Gui-Fang],
Tan, S.J.[Shi-Jun],
Ji, Z.[Zhe],
Fang, Y.M.[Yu-Ming],
Dynamic Attention Vision-Language Transformer Network for Person
Re-identification,
IJCV(133), No. 4, April 2025, pp. 1927-1939.
Springer DOI
2504
BibRef
Qin, Y.[Yang],
Chen, Y.K.[Ying-Ke],
Peng, D.Z.[De-Zhong],
Peng, X.[Xi],
Zhou, J.T.Y.[Joey Tian-Yi],
Hu, P.[Peng],
Noisy-Correspondence Learning for Text-to-Image Person
Re-Identification,
CVPR24(27187-27196)
IEEE DOI Code:
WWW Link.
2410
Training, Upper bound, Text to image, Training data, Robustness,
Data models, Cross-modal learning,
Noisy Correspondence
BibRef
Tan, W.T.[Wen-Tao],
Ding, C.X.[Chang-Xing],
Jiang, J.[Jiayu],
Wang, F.[Fei],
Zhan, Y.B.[Yi-Bing],
Tao, D.P.[Da-Peng],
Harnessing the Power of MLLMs for Transferable Text-to-Image Person
ReID,
CVPR24(17127-17137)
IEEE DOI Code:
WWW Link.
2410
Training, Pedestrians, Databases, Large language models,
Text to image, Training data, Text-to-Image ReID,
Multi-modal Large Language Model
BibRef
Cheng, G.[Guoan],
Shi, J.Y.[Jun-Yu],
Wang, H.[Hao],
Chen, L.[Long],
Guo, J.X.[Jia-Xi],
Wang, S.K.[Sheng-Ke],
A Study on Pedestrian Re-identification Based on Transfer Learning,
ICIVC21(112-118)
IEEE DOI
2112
Training, Target recognition, Transfer learning,
Feature extraction, Video surveillance, Probabilistic logic,
motion trajectory
BibRef
Nikhal, K.[Kshitij],
Ma, Y.[Yujunrong],
Bhattacharyya, S.S.[Shuvra S.],
Riggan, B.S.[Benjamin S.],
HashReID: Dynamic Network with Binary Codes for Efficient Person
Re-identification,
WACV24(6034-6043)
IEEE DOI
2404
Training, Performance evaluation, Biometrics (access control),
Government, Binary codes, Rendering (computer graphics),
Embedded sensing / real-time techniques
BibRef
Nikhal, K.[Kshitij],
Riggan, B.S.[Benjamin S.],
Unsupervised Attention Based Instance Discriminative Learning for
Person Re-Identification,
WACV21(2421-2430)
IEEE DOI
2106
Annotations, Transfer learning,
Supervised learning, Lighting, Computer architecture
BibRef
Dou, Z.P.[Zhao-Peng],
Wang, Z.[Zhongdao],
Li, Y.[Yali],
Wang, S.J.[Sheng-Jin],
Identity-Seeking Self-Supervised Representation Learning for
Generalizable Person Re-identification,
ICCV23(15801-15812)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zou, C.[Chang],
Chen, Z.[Zeqi],
Cui, Z.C.[Zhi-Chao],
Liu, Y.H.[Yue-Hu],
Zhang, C.[Chi],
Discrepant and Multi-instance Proxies for Unsupervised Person
Re-identification,
ICCV23(11024-11034)
IEEE DOI
2401
BibRef
Cao, C.Z.[Cheng-Zhi],
Fu, X.Y.[Xue-Yang],
Liu, H.J.[Hong-Jian],
Huang, Y.K.[Yu-Kun],
Wang, K.Y.[Kun-Yu],
Luo, J.B.[Jie-Bo],
Zha, Z.J.[Zheng-Jun],
Event-Guided Person Re-Identification via Sparse-Dense Complementary
Learning,
CVPR23(17990-17999)
IEEE DOI
2309
BibRef
Zhang, G.[Guiwei],
Zhang, Y.F.[Yong-Fei],
Zhang, T.Y.[Tian-Yu],
Li, B.[Bo],
Pu, S.L.[Shi-Liang],
PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based
Person Re-Identification,
CVPR23(14133-14142)
IEEE DOI
2309
BibRef
Ning, J.Q.[Jia-Qi],
Li, F.[Fei],
Liu, R.J.[Ru-Jie],
Takeuchi, S.[Shun],
Suzuki, G.[Genta],
Temporal Extension Topology Learning for Video-based Person
Re-identification,
MLCSA22(213-225).
Springer DOI
2307
BibRef
Wang, K.[Kan],
Hu, S.P.[Shu-Ping],
Cheng, J.[Jun],
Cheng, J.[Jun],
Pang, J.X.[Jian-Xin],
Tan, H.[Huan],
RA Loss: Relation-Aware Loss for Robust Person Re-identification,
ACCV22(II:373-390).
Springer DOI
2307
BibRef
Das, N.[Nilaksh],
Peng, S.Y.[Sheng-Yun],
Chau, D.H.[Duen Horng],
Skelevision: Towards Adversarial Resiliency of Person Tracking with
Multi-task Learning,
AdvRob22(449-466).
Springer DOI
2304
BibRef
Li, J.C.[Jia-Chen],
Wang, M.L.[Meng-Lin],
Gong, X.J.[Xiao-Jin],
Transformer Based Multi-Grained Features for Unsupervised Person
Re-Identification,
RealWorld23(1-9)
IEEE DOI
2302
Codes, Conferences, Network architecture, Feature extraction, Transformers
BibRef
Sun, J.[Jia],
Li, Y.F.[Yan-Feng],
Chen, H.[Houjin],
Peng, Y.H.[Ya-Hui],
A Person Re-Identification Baseline Based on Attention Block Neural
Architecture Search,
ICIP22(841-845)
IEEE DOI
2211
Codes, Cameras, Convolutional neural networks, Task analysis,
Periodic structures, person re-identification, neural architecture search
BibRef
Jiao, B.L.[Bing-Liang],
Liu, L.Q.[Ling-Qiao],
Gao, L.Y.[Li-Ying],
Lin, G.S.[Guo-Sheng],
Yang, L.[Lu],
Zhang, S.Z.[Shi-Zhou],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
Dynamically Transformed Instance Normalization Network for
Generalizable Person Re-Identification,
ECCV22(XIV:285-301).
Springer DOI
2211
BibRef
Zhu, K.[Kuan],
Guo, H.Y.[Hai-Yun],
Yan, T.Y.[Tian-Yi],
Zhu, Y.S.[You-Song],
Wang, J.Q.[Jin-Qiao],
Tang, M.[Ming],
PASS: Part-Aware Self-Supervised Pre-Training for Person
Re-Identification,
ECCV22(XIV:198-214).
Springer DOI
2211
BibRef
Shuai, B.[Bing],
Li, X.Y.[Xin-Yu],
Kundu, K.[Kaustav],
Tighe, J.[Joseph],
Id-Free Person Similarity Learning,
CVPR22(14669-14679)
IEEE DOI
2210
Training, Representation learning, Target tracking, Costs,
Annotations,
Representation learning
BibRef
Zhu, H.W.[Hao-Wei],
Ke, W.J.[Wen-Jing],
Li, D.[Dong],
Liu, J.[Ji],
Tian, L.[Lu],
Shan, Y.[Yi],
Dual Cross-Attention Learning for Fine-Grained Visual Categorization
and Object Re-Identification,
CVPR22(4682-4692)
IEEE DOI
2210
Deep learning, Visualization, Image recognition,
Benchmark testing, Transformers,
Deep learning architectures and techniques
BibRef
Ni, H.[Hao],
Li, Y.[Yuke],
Gao, L.L.[Lian-Li],
Shen, H.T.[Heng Tao],
Song, J.K.[Jing-Kuan],
Part-Aware Transformer for Generalizable Person Re-identification,
ICCV23(11246-11255)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wu, W.[Wei],
Liu, J.W.[Jia-Wei],
Zheng, K.[Kecheng],
Sun, Q.[Qibin],
Zha, Z.J.[Zheng-Jun],
Temporal Complementarity-Guided Reinforcement Learning for
Image-to-Video Person Re-Identification,
CVPR22(7309-7318)
IEEE DOI
2210
Representation learning, Uncertainty, Measurement uncertainty,
Reinforcement learning, Detectors, Markov processes,
Video analysis and understanding
BibRef
Cho, Y.[Yoonki],
Kim, W.J.[Woo Jae],
Hong, S.[Seunghoon],
Yoon, S.E.[Sung-Eui],
Part-based Pseudo Label Refinement for Unsupervised Person
Re-identification,
CVPR22(7298-7308)
IEEE DOI
2210
Representation learning, Smoothing methods, Codes, Machine vision,
Benchmark testing, Reliability engineering,
Vision applications and systems
BibRef
Wang, H.C.[Hao-Chen],
Shen, J.Y.[Jia-Yi],
Liu, Y.[Yongtuo],
Gao, Y.[Yan],
Gavves, E.[Efstratios],
NFormer: Robust Person Re-identification with Neighbor Transformer,
CVPR22(7287-7297)
IEEE DOI
2210
Representation learning, Training, Codes, Computational modeling,
Focusing, Interference, Recognition: detection, categorization,
Representation learning
BibRef
Yang, Z.Z.[Zi-Zheng],
Jin, X.[Xin],
Zheng, K.[Kecheng],
Zhao, F.[Feng],
Unleashing Potential of Unsupervised Pre-Training with Intra-Identity
Regularization for Person Re-Identification,
CVPR22(14278-14287)
IEEE DOI
2210
Representation learning, Pipelines, Self-supervised learning,
Robustness, Task analysis,
Self- semi- meta- unsupervised learning
BibRef
Wang, Y.Q.[Ying-Quan],
Zhang, P.P.[Ping-Ping],
Gao, S.[Shang],
Geng, X.[Xia],
Lu, H.[Hu],
Wang, D.[Dong],
Pyramid Spatial-Temporal Aggregation for Video-based Person
Re-Identification,
ICCV21(12006-12015)
IEEE DOI
2203
Mars, Correlation, Codes, Fuses, Aggregates, Interference,
Image and video retrieval,
BibRef
Chen, X.D.[Xiao-Dong],
Liu, X.C.[Xin-Chen],
Liu, W.[Wu],
Zhang, X.P.[Xiao-Ping],
Zhang, Y.D.[Yong-Dong],
Mei, T.[Tao],
Explainable Person Re-Identification with Attribute-guided Metric
Distillation,
ICCV21(11793-11802)
IEEE DOI
2203
Measurement, Visualization, Semantics, Image retrieval,
Convolutional neural networks, Task analysis, Explainable AI
BibRef
Rao, Y.M.[Yong-Ming],
Chen, G.Y.[Guang-Yi],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Counterfactual Attention Learning for Fine-Grained Visual
Categorization and Re-identification,
ICCV21(1005-1014)
IEEE DOI
2203
Learning systems, Training, Visualization, Image recognition, Costs,
Computational modeling, Recognition and classification,
BibRef
He, T.Y.[Tian-Yu],
Jin, X.[Xin],
Shen, X.[Xu],
Huang, J.Q.[Jian-Qiang],
Chen, Z.B.[Zhi-Bo],
Hua, X.S.[Xian-Sheng],
Dense Interaction Learning for Video-based Person Re-identification,
ICCV21(1470-1481)
IEEE DOI
2203
Architecture, Buildings, Feature extraction,
Decoding, Task analysis, Video analysis and understanding,
Vision applications and systems
BibRef
Ji, H.X.[Hao-Xuanye],
Wang, L.[Le],
Zhou, S.P.[San-Ping],
Tang, W.[Wei],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Meta Pairwise Relationship Distillation for Unsupervised Person
Re-identification,
ICCV21(3641-3650)
IEEE DOI
2203
Training, Representation learning, Visualization,
Image color analysis, Estimation, Feature extraction,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Isobe, T.[Takashi],
Li, D.[Dong],
Tian, L.[Lu],
Chen, W.H.[Wei-Hua],
Shan, Y.[Yi],
Wang, S.J.[Sheng-Jin],
Towards Discriminative Representation Learning for Unsupervised
Person Re-identification,
ICCV21(8506-8516)
IEEE DOI
2203
Representation learning, Training, Target recognition,
Handheld computers, Pipelines, Clustering algorithms, Biometrics
BibRef
Haghighi, A.B.[Amir Bitaraf],
Taheri, M.[Mohammad],
Person Re-Identification using Ensemble of Networks on Pose
Transferred Images,
IPRIA21(1-5)
IEEE DOI
2201
Measurement, Visualization, Image recognition, Image analysis,
Neural networks, Feature extraction, Video surveillance,
Ensemble Learning
BibRef
Sun, W.Y.[Wen-Yu],
Xie, J.Y.[Ji-Yang],
Qiu, J.Y.[Jia-Yan],
Ma, Z.Y.[Zhan-Yu],
Part Uncertainty Estimation Convolutional Neural Network for Person
Re-Identification,
ICIP21(2304-2308)
IEEE DOI
2201
Training, Uncertainty, Filtering, Image processing, Estimation,
Robustness, Data models, Person ReID, uncertainty estimation,
quality filter
BibRef
Zhang, Z.Y.[Zi-Yue],
Jiang, S.[Shuai],
Huang, C.Z.T.[Cong-Zhen-Tao],
Xu, R.Y.D.[Richard Yi Da],
Resolution-Invariant Person ReId Based on Feature Transformation and
Self-Weighted Attention,
ICIP21(1134-1138)
IEEE DOI
2201
Image resolution, Video sequences, Transforms, Benchmark testing,
Cameras, Person re-identification, resolution adaptive,
self-weighted attention
BibRef
Tang, Q.[Qing],
Jo, K.H.[Kang-Hyun],
Unsupervised Person Re-Identification Via Nearest Neighbor
Collaborative Training Strategy,
ICIP21(1139-1143)
IEEE DOI
2201
Training, Annotations, Image processing, Collaboration,
Artificial neural networks, Noise measurement,
pseudo label refinery
BibRef
Herzog, F.[Fabian],
Ji, X.[Xunbo],
Teepe, T.[Torben],
Hörmann, S.[Stefan],
Gilg, J.[Johannes],
Rigoll, G.[Gerhard],
Lightweight Multi-Branch Network for Person Re-Identification,
ICIP21(1129-1133)
IEEE DOI
2201
Training, Schedules, Surveillance, Neural networks,
Deep architecture, Cameras, Feature extraction, Image Processing
BibRef
Lusardi, C.[Christian],
Taufique, A.M.N.[Abu Md Niamul],
Savakis, A.[Andreas],
Robust Multi-Object Tracking Using Re-Identification Features and
Graph Convolutional Networks,
WAAMI21(3861-3870)
IEEE DOI
2112
Training, Benchmark testing,
Feature extraction, Robustness, Graph neural networks
BibRef
Fu, D.P.[Deng-Pan],
Chen, D.D.[Dong-Dong],
Bao, J.M.[Jian-Min],
Yang, H.[Hao],
Yuan, L.[Lu],
Zhang, L.[Lei],
Li, H.Q.[Hou-Qiang],
Chen, D.[Dong],
Unsupervised Pre-training for Person Re-identification,
CVPR21(14745-14754)
IEEE DOI
2111
Annotations, Computational modeling, Cameras,
Data models, Videos
BibRef
Zhang, Z.[Zhong],
Zhang, H.[Haijia],
Liu, S.[Shuang],
Person Re-identification using Heterogeneous Local Graph Attention
Networks,
CVPR21(12131-12140)
IEEE DOI
2111
Aggregates, Context modeling
BibRef
Zhang, T.Y.[Tian-Yu],
Xie, L.X.[Ling-Xi],
Wei, L.H.[Long-Hui],
Zhuang, Z.J.[Zi-Jie],
Zhang, Y.F.[Yong-Fei],
Li, B.[Bo],
Tian, Q.[Qi],
UnrealPerson:
An Adaptive Pipeline towards Costless Person Re-identification,
CVPR21(11501-11510)
IEEE DOI
2111
Training, Costs, Annotations, Image synthesis,
Data integrity, Pipelines
BibRef
Li, H.J.[Han-Jun],
Wu, G.[Gaojie],
Zheng, W.S.[Wei-Shi],
Combined Depth Space based Architecture Search For Person
Re-identification,
CVPR21(6725-6734)
IEEE DOI
2111
Training,
Network architecture, Search problems, Feature extraction, Neck
BibRef
Chen, H.[Hao],
Lagadec, B.[Benoit],
Brémond, F.[François],
Enhancing Diversity in Teacher-Student Networks via Asymmetric
branches for Unsupervised Person Re-identification,
WACV21(1-10)
IEEE DOI
2106
Training, Knowledge engineering, Couplings,
Annotations, Neural networks
BibRef
Quispe, R.[Rodolfo],
Pedrini, H.[Helio],
Top-DB-Net: Top DropBlock for Activation Enhancement in Person
Re-Identification,
ICPR21(2980-2987)
IEEE DOI
2105
Focusing, Streaming media, Cameras, Reliability,
Task analysis, Testing
BibRef
Munir, A.[Asad],
Martinel, N.[Niki],
Micheloni, C.[Christian],
Self and Channel Attention Network for Person Re-Identification,
ICPR21(4025-4031)
IEEE DOI
2105
Training, Measurement, Correlation, Focusing, Benchmark testing
BibRef
Li, Z.[Zhen],
Shao, H.Y.[Han-Yang],
Niu, L.[Liang],
Xue, N.[Nian],
Progressive Learning Algorithm for Efficient Person
Re-Identification,
ICPR21(16-23)
IEEE DOI
2105
Computational modeling, Memory management, Buildings,
Programmable logic arrays, Inference algorithms,
Computational efficiency
BibRef
Hao, G.[Gehan],
Yang, Y.[Yang],
Zhou, X.[Xue],
Wang, G.[Guanan],
Lei, Z.[Zhen],
Horizontal Flipping Assisted Disentangled Feature Learning for
Semi-supervised Person Re-identification,
ACCV20(III:21-37).
Springer DOI
2103
BibRef
Tang, Z.M.[Zeng-Ming],
Huang, J.[Jun],
Branch Interaction Network for Person Re-identification,
ACCV20(III:322-337).
Springer DOI
2103
BibRef
Wang, L.[Li],
Fan, B.Y.[Bao-Yu],
Guo, Z.H.[Zhen-Hua],
Zhao, Y.Q.[Ya-Qian],
Zhang, R.Z.[Run-Ze],
Li, R.G.[Ren-Gang],
Gong, W.F.[Wei-Feng],
Dense-scale Feature Learning in Person Re-identification,
ACCV20(VI:341-357).
Springer DOI
2103
BibRef
Wang, Z.D.[Zhong-Dao],
Zhang, J.W.[Jing-Wei],
Zheng, L.[Liang],
Liu, Y.X.[Yi-Xuan],
Sun, Y.F.[Yi-Fan],
Li, Y.[Yali],
Wang, S.J.[Sheng-Jin],
CycAs:
Self-supervised Cycle Association for Learning Re-identifiable Descriptions,
ECCV20(XI:72-88).
Springer DOI
2011
BibRef
Zhang, Y.,
Shi, W.,
Liu, S.,
Bao, J.,
Wei, Y.,
Scale-Invariant Siamese Network For Person Re-Identification,
ICIP20(2436-2440)
IEEE DOI
2011
Visualization, Training, Silicon, Feeds,
Feature extraction, Tensile stress, Scale-invariant features,
Person re-identification
BibRef
Munir, A.,
Martinel, N.,
Micheloni, C.,
Multi Branch Siamese Network For Person Re-Identification,
ICIP20(2351-2355)
IEEE DOI
2011
Cameras, Training, Robustness, Benchmark testing,
Entropy, Person Re-Identification, Cycle-GAN
BibRef
Liu, C.T.[Chih-Ting],
Chen, J.C.[Jun-Cheng],
Chen, C.S.[Chu-Song],
Chien, S.Y.[Shao-Yi],
Video-based Person Re-identification without Bells and Whistles,
AMFG21(1491-1500)
IEEE DOI
2109
Protocols, Computational modeling, Lighting, Cameras, Data models
BibRef
Wu, C.W.,
Liu, C.T.,
Tu, W.C.,
Tsao, Y.,
Wang, Y.C.F.,
Chien, S.Y.,
Space-Time Guided Association Learning For Unsupervised Person
Re-Identification,
ICIP20(2261-2265)
IEEE DOI
2011
Feature extraction, Cameras, Training, Robustness,
Prediction algorithms, Labeling, Visualization
BibRef
Ji, Z.L.[Zi-Long],
Zou, X.L.[Xiao-Long],
Lin, X.O.[Xia-Ohan],
Liu, X.[Xiao],
Huang, T.J.[Tie-Jun],
Wu, S.[Si],
An Attention-driven Two-stage Clustering Method for Unsupervised Person
Re-identification,
ECCV20(XXVIII:20-36).
Springer DOI
2011
BibRef
Yuan, Y.,
Chen, W.,
Yang, Y.,
Wang, Z.,
In Defense of the Triplet Loss Again: Learning Robust Person
Re-Identification with Fast Approximated Triplet Loss and Label
Distillation,
WiCV20(1454-1463)
IEEE DOI
2008
Fats, Noise measurement, Training, Robustness, Data models,
Upper bound, Complexity theory
BibRef
Fan, L.,
Li, T.,
Fang, R.,
Hristov, R.,
Yuan, Y.,
Katabi, D.,
Learning Longterm Representations for Person Re-Identification Using
Radio Signals,
CVPR20(10696-10706)
IEEE DOI
2008
Feature extraction, Radio frequency, RF signals, Heating systems,
Videos, Cameras, Lighting
BibRef
Chen, X.,
Fu, C.,
Zhao, Y.,
Zheng, F.,
Song, J.,
Ji, R.,
Yang, Y.,
Salience-Guided Cascaded Suppression Network for Person
Re-Identification,
CVPR20(3297-3307)
IEEE DOI
2008
Feature extraction, Semantics, Aggregates, Training, Testing,
Task analysis, Biological system modeling
BibRef
Avola, D.[Danilo],
Cascio, M.[Marco],
Cinque, L.[Luigi],
Fagioli, A.[Alessio],
Foresti, G.L.[Gian Luca],
Massaroni, C.[Cristiano],
Master and Rookie Networks for Person Re-identification,
CAIP19(II:470-479).
Springer DOI
1909
BibRef
Matiyali, N.,
Sharma, G.,
Video Person Re-Identification using Learned Clip Similarity
Aggregation,
WACV20(2644-2653)
IEEE DOI
2006
Task analysis, Video sequences, Feature extraction,
Benchmark testing, Measurement, Optical imaging
BibRef
Chen, H.,
Lagadec, B.,
Bremond, F.,
Learning Discriminative and Generalizable Representations by
Spatial-Channel Partition for Person Re-Identification,
WACV20(2472-2481)
IEEE DOI
2006
Feature extraction, Task analysis, Robustness, Semantics,
Neural networks, Cameras, Training
BibRef
Chen, G.,
Lin, C.,
Ren, L.,
Lu, J.,
Zhou, J.,
Self-Critical Attention Learning for Person Re-Identification,
ICCV19(9636-9645)
IEEE DOI
2004
image recognition, learning (artificial intelligence),
person re-identification, Learning (artificial intelligence)
BibRef
Chen, T.,
Ding, S.,
Xie, J.,
Yuan, Y.,
Chen, W.,
Yang, Y.,
Ren, Z.,
Wang, Z.,
ABD-Net: Attentive but Diverse Person Re-Identification,
ICCV19(8350-8360)
IEEE DOI
2004
feature extraction, learning (artificial intelligence),
ABD-Net seamlessly, diversity regularizations, Euclidean distance
BibRef
Wu, J.,
Liu, H.,
Yang, Y.,
Lei, Z.,
Liao, S.,
Li, S.,
Unsupervised Graph Association for Person Re-Identification,
ICCV19(8320-8329)
IEEE DOI
2004
cameras, graph theory, image motion analysis,
image recognition, image representation, object detection, Machine learning
BibRef
Wu, A.,
Zheng, W.,
Lai, J.,
Unsupervised Person Re-Identification by Camera-Aware Similarity
Consistency Learning,
ICCV19(6921-6930)
IEEE DOI
2004
cameras, image matching, object detection, statistical analysis,
supervised learning, unsupervised learning, video surveillance, Lighting
BibRef
Bryan, B.,
Gong, Y.,
Zhang, Y.,
Poellabauer, C.,
Second-Order Non-Local Attention Networks for Person
Re-Identification,
ICCV19(3759-3768)
IEEE DOI
2004
image representation, learning (artificial intelligence),
neural nets, statistics, dropout mechanism, consecutive regions,
Computer architecture
BibRef
Chen, B.,
Deng, W.,
Hu, J.,
Mixed High-Order Attention Network for Person Re-Identification,
ICCV19(371-381)
IEEE DOI
2004
Code, Re-Identification.
WWW Link. image processing, learning (artificial intelligence), statistics,
mixed high-order attention network, person re-identification, Cameras
BibRef
Hou, R.B.[Rui-Bing],
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Gu, X.Q.[Xin-Qian],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Interaction-And-Aggregation Network for Person Re-Identification,
CVPR19(9309-9318).
IEEE DOI
2002
BibRef
Meng, J.[Jingke],
Wu, S.[Sheng],
Zheng, W.S.[Wei-Shi],
Weakly Supervised Person Re-Identification,
CVPR19(760-769).
IEEE DOI
2002
BibRef
Yang, W.J.[Wen-Jie],
Huang, H.J.[Hou-Jing],
Zhang, Z.[Zhang],
Chen, X.T.[Xiao-Tang],
Huang, K.Q.[Kai-Qi],
Zhang, S.[Shu],
Towards Rich Feature Discovery With Class Activation Maps Augmentation
for Person Re-Identification,
CVPR19(1389-1398).
IEEE DOI
2002
BibRef
Zheng, Z.D.[Zhe-Dong],
Yang, X.D.[Xiao-Dong],
Yu, Z.[Zhiding],
Zheng, L.[Liang],
Yang, Y.[Yi],
Kautz, J.[Jan],
Joint Discriminative and Generative Learning for Person
Re-Identification,
CVPR19(2133-2142).
IEEE DOI
2002
BibRef
Yu, H.X.[Hong-Xing],
Zheng, W.S.[Wei-Shi],
Wu, A.[Ancong],
Guo, X.W.[Xiao-Wei],
Gong, S.G.[Shao-Gang],
Lai, J.H.[Jian-Huang],
Unsupervised Person Re-Identification by Soft Multilabel Learning,
CVPR19(2143-2152).
IEEE DOI
2002
BibRef
Yang, Q.Z.[Qi-Ze],
Yu, H.X.[Hong-Xing],
Wu, A.[Ancong],
Zheng, W.S.[Wei-Shi],
Patch-Based Discriminative Feature Learning for Unsupervised Person
Re-Identification,
CVPR19(3628-3637).
IEEE DOI
2002
BibRef
Zhao, Y.[Yiru],
Shen, X.[Xu],
Jin, Z.M.[Zhong-Ming],
Lu, H.T.[Hong-Tao],
Hua, X.S.[Xian-Sheng],
Attribute-Driven Feature Disentangling and Temporal Aggregation for
Video Person Re-Identification,
CVPR19(4908-4917).
IEEE DOI
2002
BibRef
Zheng, M.[Meng],
Karanam, S.[Srikrishna],
Wu, Z.Y.[Zi-Yan],
Radke, R.J.[Richard J.],
Re-Identification With Consistent Attentive Siamese Networks,
CVPR19(5728-5737).
IEEE DOI
2002
BibRef
Sun, Y.F.[Yi-Fan],
Xu, Q.[Qin],
Li, Y.[Yali],
Zhang, C.[Chi],
Li, Y.K.[Yi-Kang],
Wang, S.J.[Sheng-Jin],
Sun, J.[Jian],
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features
for Partial Person Re-Identification,
CVPR19(393-402).
IEEE DOI
2002
BibRef
Tay, C.P.[Chiat-Pin],
Roy, S.[Sharmili],
Yap, K.H.[Kim-Hui],
AANet: Attribute Attention Network for Person Re-Identifications,
CVPR19(7127-7136).
IEEE DOI
2002
BibRef
Loesch, A.,
Rabarisoa, J.,
Audigier, R.,
End-To-End Person Search Sequentially Trained On Aggregated Dataset,
ICIP19(4574-4578)
IEEE DOI
1910
Re-identification, person detection, person search,
multi-task learning, cross-dataset
BibRef
Sun, L.,
Liu, J.,
Zhu, Y.,
Jiang, Z.,
Local to Global with Multi-Scale Attention Network for Person
Re-Identification,
ICIP19(2254-2258)
IEEE DOI
1910
Person re-identification, local information, global information, spatial attention
BibRef
Wu, G.,
Zhu, X.,
Gong, S.,
Person Re-Identification by Ranking Ensemble Representations,
ICIP19(2259-2263)
IEEE DOI
1910
Person re-identification, ranking list
BibRef
Guo, H.,
Wu, H.,
Zhao, C.,
Zhang, H.,
Wang, J.,
Lu, H.,
Cascade Attention Network for Person Re-Identification,
ICIP19(2264-2268)
IEEE DOI
1910
cascade attention network, human parsing,
spatial-channel attention module, person re-identification
BibRef
Liu, S.,
Qi, L.,
Zhang, Y.,
Shi, W.,
Dual Reverse Attention Networks for Person Re-Identification,
ICIP19(1232-1236)
IEEE DOI
1910
Person re-identification, hard examples, dual reverse attention networks
BibRef
Fan, X.[Xing],
Luo, H.[Hao],
Zhang, X.[Xuan],
He, L.X.[Ling-Xiao],
Zhang, C.[Chi],
Jiang, W.[Wei],
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and
Partial Person Re-identification,
ACCV18(II:19-34).
Springer DOI
1906
BibRef
Hara, K.[Kensho],
Kataoka, H.[Hirokatsu],
Inaba, M.[Masaki],
Narioka, K.[Kenichi],
Satoh, Y.[Yutaka],
Recognizing People in Blind Spots Based on Surrounding Behavior,
PersonContext18(II:562-570).
Springer DOI
1905
BibRef
Zhu, X.R.[Xie-Rong],
Liu, J.W.[Jia-Wei],
Xie, H.T.[Hong-Tao],
Zha, Z.J.[Zheng-Jun],
Adaptive Alignment Network for Person Re-identification,
MMMod19(II:16-27).
Springer DOI
1901
BibRef
Tian, M.Q.[Mao-Qing],
Yi, S.A.[Shu-Ai],
Li, H.S.[Hong-Sheng],
Li, S.H.[Shi-Hua],
Zhang, X.S.[Xue-Sen],
Shi, J.P.[Jian-Ping],
Yan, J.J.[Jun-Jie],
Wang, X.G.[Xiao-Gang],
Eliminating Background-bias for Robust Person Re-identification,
CVPR18(5794-5803)
IEEE DOI
1812
Testing, Training, Neural networks, Visualization, Cameras, Probes
BibRef
Jiang, N.,
Liu, J.,
Sun, C.,
Wang, Y.,
Zhou, Z.,
Wu, W.,
Orientation-Guided Similarity Learning for Person Re-identification,
ICPR18(2056-2061)
IEEE DOI
1812
Feature extraction, Training, Measurement, Shoulder, Pose estimation,
Image color analysis
BibRef
Huang, X.,
Xu, J.,
Guo, G.,
Incremental Kernel Null Foley-Sammon Transform for Person
Re-identification,
ICPR18(1683-1688)
IEEE DOI
1812
Transforms, Data models, Null space, Learning systems, Training, Measurement
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Guo, R.,
Li, C.,
Li, Y.,
Lin, J.,
Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,
ICPR18(982-987)
IEEE DOI
1812
Kernel, Probes, Task analysis, Proposals, Surveillance, Cameras,
Benchmark testing
BibRef
Lv, J.,
Chen, W.,
Li, Q.,
Yang, C.,
Unsupervised Cross-Dataset Person Re-identification by Transfer
Learning of Spatial-Temporal Patterns,
CVPR18(7948-7956)
IEEE DOI
1812
Visualization, Silicon, Cameras, Surveillance, Supervised learning,
Feature extraction, Optimization
BibRef
Roy, S.,
Paul, S.,
Young, N.E.,
Roy-Chowdhury, A.K.,
Exploiting Transitivity for Learning Person Re-identification Models
on a Budget,
CVPR18(7064-7072)
IEEE DOI
1812
Cameras, Labeling, Measurement, Optimization, Manuals, Task analysis,
Image edge detection
BibRef
Wu, Y.[Yu],
Lin, Y.T.[Yu-Tian],
Dong, X.Y.[Xuan-Yi],
Yan, Y.[Yan],
Ouyang, W.L.[Wan-Li],
Yang, Y.[Yi],
Exploit the Unknown Gradually: One-Shot Video-Based Person
Re-identification by Stepwise Learning,
CVPR18(5177-5186)
IEEE DOI
1812
Training, Reliability, Data models, Estimation, Feature extraction,
Task analysis, Cameras
BibRef
Chang, X.,
Hospedales, T.M.,
Xiang, T.,
Multi-level Factorisation Net for Person Re-identification,
CVPR18(2109-2118)
IEEE DOI
1812
Semantics, Visualization,
Feature extraction, Frequency modulation, Task analysis, Cameras
BibRef
Xu, J.,
Zhao, R.,
Zhu, F.,
Wang, H.,
Ouyang, W.,
Attention-Aware Compositional Network for Person Re-identification,
CVPR18(2119-2128)
IEEE DOI
1812
For important reasons, the dataset used for this work has been removed.
Feature extraction, Clutter, Pose estimation, Legged locomotion,
Cameras, Visualization, Task analysis
BibRef
Li, W.,
Zhu, X.,
Gong, S.,
Harmonious Attention Network for Person Re-identification,
CVPR18(2285-2294)
IEEE DOI
1812
Data models, Computational modeling, Visualization, Training,
Surveillance, Training data
BibRef
Shi, X.,
Shan, S.,
Kan, M.,
Wu, S.,
Chen, X.,
Real-Time Rotation-Invariant Face Detection with Progressive
Calibration Networks,
CVPR18(2295-2303)
IEEE DOI
1812
Face, Detectors, Calibration, Face detection, Training,
Task analysis, Real-time systems
BibRef
Zhong, Z.[Zhun],
Zheng, L.[Liang],
Li, S.Z.[Shao-Zi],
Yang, Y.[Yi],
Generalizing a Person Retrieval Model Hetero- and Homogeneously,
ECCV18(XIII: 176-192).
Springer DOI
1810
BibRef
Zhang, X.,
Bhanu, B.,
An Unbiased Temporal Representation for Video-Based Person
Re-Identification,
ICIP18(838-842)
IEEE DOI
1809
Training, Feature extraction, Cameras, Recurrent neural networks,
Task analysis, Euclidean distance,
recurrent neural networks (RNNs)
BibRef
Ji, X.L.[Xiang-Li],
Luo, G.B.[Gui-Bo],
Zhu, Y.S.[Yue-Sheng],
A New Temporal Deconvolutional Pyramid Network for Action Detection,
ACCV18(IV:696-711).
Springer DOI
1906
BibRef
Mumtaz, S.,
Mubariz, N.,
Saleem, S.,
Fraz, M.M.,
Weighted hybrid features for person re-identification,
IPTA17(1-6)
IEEE DOI
1804
cameras, feature extraction, learning (artificial intelligence),
pose estimation, video surveillance, LOMO features,
Person Re-identification
BibRef
Sun, L.,
Zhou, Y.,
Jiang, Z.,
Men, A.,
Coupled analysis-synthesis dictionary learning for person
re-identification,
ICIP17(365-369)
IEEE DOI
1803
Cameras, Dictionaries, Encoding, Machine learning, Optimization,
Probes, Training, LFDA, Person re-identification,
coupled dictionary learning
BibRef
Xu, W.,
Chi, H.,
Zhou, L.,
Huang, X.,
Yang, J.,
Self-paced least square semi-coupled dictionary learning for person
re-identification,
ICIP17(3705-3709)
IEEE DOI
1803
Dictionaries, Linear programming, Machine learning, Measurement,
Optimization, Probes, Support vector machines, Self-Paced Learning,
samplespecific SVM
BibRef
Zhong, W.,
Xiong, H.,
Yang, Z.,
Zhang, T.,
Bi-directional long short-term memory architecture for person
re-identification with modified triplet embedding,
ICIP17(1562-1566)
IEEE DOI
1803
Indexes, Long-Short Term Memory,
bi-directional information flow, modified triplet, spatial correlation
BibRef
Xu, S.,
Cheng, Y.,
Gu, K.,
Yang, Y.,
Chang, S.,
Zhou, P.,
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based
Person Re-identification,
ICCV17(4743-4752)
IEEE DOI
1802
feature extraction, image matching, image representation,
image sequences, video signal processing, video surveillance,
Visualization
BibRef
Zhou, Z.,
Huang, Y.,
Wang, W.,
Wang, L.,
Tan, T.,
See the Forest for the Trees: Joint Spatial and Temporal Recurrent
Neural Networks for Video-Based Person Re-identification,
CVPR17(6776-6785)
IEEE DOI
1711
Feature extraction,
Image sequences, Measurement, Recurrent, neural, networks
BibRef
Zhang, Y.,
Li, B.,
Lu, H.,
Irie, A.,
Ruan, X.,
Sample-Specific SVM Learning for Person Re-identification,
CVPR16(1278-1287)
IEEE DOI
1612
BibRef
Peng, P.X.[Pei-Xi],
Tian, Y.H.[Yong-Hong],
Xiang, T.[Tao],
Wang, Y.W.[Yao-Wei],
Huang, T.J.[Tie-Jun],
Joint Learning of Semantic and Latent Attributes,
ECCV16(IV: 336-353).
Springer DOI
1611
Some attributes are discriminative, some not.
BibRef
Varior, R.R.[Rahul Rama],
Shuai, B.[Bing],
Lu, J.W.[Ji-Wen],
Xu, D.[Dong],
Wang, G.[Gang],
A Siamese Long Short-Term Memory Architecture for Human
Re-identification,
ECCV16(VII: 135-153).
Springer DOI
1611
BibRef
Wang, W.,
Taalimi, A.,
Duan, K.,
Guo, R.,
Qi, H.,
Learning patch-dependent kernel forest for person re-identification,
WACV16(1-9)
IEEE DOI
1606
Cameras
BibRef
Zhou, Q.[Qin],
Zheng, S.[Shibao],
Su, H.[Hang],
Yang, H.[Hua],
Wang, Y.[Yu],
Wu, S.[Shuang],
Kernelized View Adaptive Subspace Learning for Person Re-identification,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Kodirov, E.[Elyor],
Xiang, T.[Tao],
Gong, S.G.[Shao-Gang],
Dictionary Learning with Iterative Laplacian Regularisation for
Unsupervised Person Re-identification,
BMVC15(xx-yy).
DOI Link
1601
See also Unsupervised Domain Adaptation for Zero-Shot Learning.
BibRef
Roth, J.[Joseph],
Liu, X.M.[Xiao-Ming],
On the Exploration of Joint Attribute Learning for Person
Re-identification,
ACCV14(I: 673-688).
Springer DOI
1504
BibRef
Wang, H.X.[Han-Xiao],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Unsupervised Learning of Generative Topic Saliency for Person
Re-identification,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Zhao, Y.[Yanna],
Wang, L.[Lei],
Liu, Y.C.[Yun-Cai],
Set-Based Feature Learning for Person Re-identification via
Third-Party Images,
ACPR13(401-404)
IEEE DOI
1408
feature extraction
BibRef
Xu, Y.L.[Yuan-Lu],
Zhou, H.F.[Hong-Fei],
Wang, Q.[Qing],
Lin, L.[Liang],
Realtime object-of-interest tracking by learning Composite Patch-based
Templates,
ICIP12(389-392).
IEEE DOI
1302
BibRef
Wu, Y.[Yang],
Li, W.[Wei],
Minoh, M.[Michihiko],
Mukunoki, M.[Masayuki],
Can feature-based inductive transfer learning help person
re-identification?,
ICIP13(2812-2816)
IEEE DOI
1402
Person re-identification
BibRef
Brand, Y.[Yulia],
Avraham, T.[Tamar],
Lindenbaum, M.[Michael],
Transitive Re-identification,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Avraham, T.[Tamar],
Gurvich, I.[Ilya],
Lindenbaum, M.[Michael],
Markovitch, S.[Shaul],
Learning Implicit Transfer for Person Re-identification,
Re-Id12(I: 381-390).
Springer DOI
1210
BibRef
Goldhammer, M.[Michael],
Doll, K.[Konrad],
Brunsmann, U.[Ulrich],
Gensler, A.[Andre],
Sick, B.[Bernhard],
Pedestrian's Trajectory Forecast in Public Traffic with Artificial
Neural Networks,
ICPR14(4110-4115)
IEEE DOI
1412
Head
BibRef
Nickel, K.[Kai],
Stiefelhagen, R.[Rainer],
Dynamic Integration of Generalized Cues for Person Tracking,
ECCV08(IV: 514-526).
Springer DOI
0810
BibRef
Bauml, M.[Martin],
Stiefelhagen, R.[Rainer],
Evaluation of local features for person re-identification in image
sequences,
AVSBS11(291-296).
IEEE DOI
1111
BibRef
And:
Interactive person-retrieval in a distributed camera network,
AVSBS11(525-526).
IEEE DOI
1111
AVSS 2011 demo session.
BibRef
Hu, L.[Lei],
Wang, Y.Z.[Yi-Zhou],
Jiang, S.Q.[Shu-Qiang],
Huang, Q.M.[Qing-Ming],
Gao, W.[Wen],
Human reappearance detection based on on-line learning,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Metric Learning, Re-Identification Issues .