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SVMs,
IP(24), No. 5, May 2015, pp. 1599-1613.
IEEE DOI
1504
BibRef
Earlier: A1, A3, A2, Only:
Domain Transfer Support Vector Ranking for Person Re-identification
without Target Camera Label Information,
ICCV13(3567-3574)
IEEE DOI
1403
cameras.
Domain Adaptation; Person Re-Identification
BibRef
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BibRef
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Springer DOI
1504
BibRef
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Zheng, W.S.[Wei-Shi],
Li, X.,
Zhang, J.,
Cross-Scenario Transfer Person Reidentification,
CirSysVideo(26), No. 8, August 2016, pp. 1447-1460.
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1609
cameras
BibRef
Ye, M.[Mang],
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Zheng, L.[Liang],
Yuen, P.C.[Pong C.],
Dynamic Graph Co-Matching for Unsupervised Video-Based Person
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IP(28), No. 6, June 2019, pp. 2976-2990.
IEEE DOI
1905
BibRef
Earlier: A1, A3, A4, A2, A5:
Dynamic Label Graph Matching for Unsupervised Video Re-identification,
ICCV17(5152-5160)
IEEE DOI
1802
cameras, data mining, graph theory, image matching,
learning (artificial intelligence), object detection,
unsupervised learning.
image sensors.
BibRef
Zhong, Z.[Zhun],
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Li, S.Z.[Shao-Zi],
Yang, Y.[Yi],
CamStyle: A Novel Data Augmentation Method for Person
Re-Identification,
IP(28), No. 3, March 2019, pp. 1176-1190.
IEEE DOI
1812
cameras, image recognition, learning (artificial intelligence),
person re-identification, cross-camera retrieval task,
unsupervised domain adaptation
BibRef
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Elsevier DOI
2003
Person re-identification, Unsupervised domain adaptation
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Jiang, K.,
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IP(29), 2020, pp. 8549-8560.
IEEE DOI
2008
Self-supervised learning,
unsupervised cross-domain person re-identification, hard negative mining
BibRef
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PAMI(35), No. 3, March 2013, pp. 653-668.
IEEE DOI
1303
BibRef
Earlier:
Transfer re-identification: From person to set-based verification,
CVPR12(2650-2657).
IEEE DOI
1208
BibRef
Earlier:
Person re-identification by probabilistic relative distance comparison,
CVPR11(649-656).
IEEE DOI
1106
BibRef
Earlier:
Associating Groups of People,
BMVC09(xx-yy).
PDF File.
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BibRef
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PAMI(38), No. 3, March 2016, pp. 591-606.
IEEE DOI
1602
Cameras
BibRef
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BMVC16(xx-yy).
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BibRef
Li, X.,
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Multi-Scale Learning for Low-Resolution Person Re-Identification,
ICCV15(3765-3773)
IEEE DOI
1602
Adaptation models
See also Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification.
BibRef
Zheng, W.S.[Wei-Shi],
Li, X.[Xiang],
Xiang, T.[Tao],
Liao, S.C.[Sheng-Cai],
Lai, J.H.[Jian-Huang],
Gong, S.G.[Shao-Gang],
Partial Person Re-Identification,
ICCV15(4678-4686)
IEEE DOI
1602
Cameras
BibRef
Chen, Y.B.[Yan-Bei],
Zhu, X.T.[Xia-Tian],
Gong, S.G.[Shao-Gang],
Person Re-identification by Deep Learning Multi-scale Representations,
HumID17(2590-2600)
IEEE DOI
1802
Cameras, Data models, Feature extraction, Image resolution,
Propagation losses, Training, Visualization
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Tang, Y.,
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Song, B.,
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IEEE DOI
2005
Task analysis, Training, Cameras, Object tracking, Image recognition,
Target recognition, Surveillance, Person re-identification,
maximum mean discrepancy
BibRef
Li, H.F.[Hua-Feng],
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Yu, Z.T.[Zheng-Tao],
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CirSysVideo(30), No. 10, October 2020, pp. 3472-3485.
IEEE DOI
2010
Visualization, Semantics, Dictionaries, Training, Machine learning,
Predictive models, Adaptation models, Person re-identification,
attribute space
BibRef
Han, J.,
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Wang, S.,
Adaptively Leverage Unlabeled Tracklets Based on Part Attention Model
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SPLetters(27), 2020, pp. 2074-2078.
IEEE DOI
2012
Training, Adaptation models, Data models, Reliability, Estimation,
Noise measurement, Probes, Person re-ID, few-example, noisy labels
BibRef
Huang, Y.[Yan],
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Xu, J.S.[Jing-Song],
Zhong, Y.[Yi],
Zhang, Z.X.[Zhao-Xiang],
Unsupervised Domain Adaptation with Background Shift Mitigating for
Person Re-Identification,
IJCV(129), No. 7, July 2021, pp. 2244-2263.
Springer DOI
2106
BibRef
Li, Y.[Yaoyu],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
TEST: Triplet Ensemble Student-Teacher Model for Unsupervised Person
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IP(30), 2021, pp. 7952-7963.
IEEE DOI
2109
Adaptation models, Learning systems, Couplings, Training,
Knowledge engineering, Feature extraction, Predictive models, self-ensembling
BibRef
Zhang, C.Y.[Chen-Yang],
Tang, Y.Q.[Yong-Qiang],
Zhang, Z.Z.[Zhi-Zhong],
Li, D.[Ding],
Yang, X.B.[Xue-Bing],
Zhang, W.S.[Wen-Sheng],
Improving Domain-Adaptive Person Re-Identification by Dual-Alignment
Learning With Camera-Aware Image Generation,
CirSysVideo(31), No. 11, November 2021, pp. 4334-4346.
IEEE DOI
2112
Cameras, Training, Data models, Correlation, Clustering algorithms,
Adaptation models, Prediction algorithms,
mutual information
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Lin, S.,
Li, C.T.,
Kot, A.C.,
Multi-Domain Adversarial Feature Generalization for Person
Re-Identification,
IP(30), 2021, pp. 1596-1607.
IEEE DOI
2101
Adaptation models, Cameras, Training, Feature extraction,
Data models, Task analysis, Scalability, Person re-identification,
adversarial feature learning
BibRef
Zhang, H.H.[Heng-Heng],
Li, Y.[Ying],
Zhuang, Z.J.[Zi-Jie],
Xie, L.X.[Ling-Xi],
Tian, Q.[Qi],
3D-GAT: 3D-Guided adversarial transform network for person
re-identification in unseen domains,
PR(112), 2021, pp. 107799.
Elsevier DOI
2102
Person re-identification, Domain transfer, 3D Models,
Training with synthesized image data
BibRef
Sun, J.[Jia],
Li, Y.F.[Yan-Feng],
Chen, H.J.[Hou-Jin],
Peng, Y.H.[Ya-Hui],
Zhu, J.L.[Jin-Lei],
Unsupervised Cross Domain Person Re-Identification by Multi-Loss
Optimization Learning,
IP(30), 2021, pp. 2935-2946.
IEEE DOI
2102
Optimization, Supervised learning,
Generative adversarial networks, Training, Task analysis, Cameras,
adversarial learning
BibRef
Feng, H.,
Chen, M.,
Hu, J.,
Shen, D.,
Liu, H.,
Cai, D.,
Complementary Pseudo Labels for Unsupervised Domain Adaptation On
Person Re-Identification,
IP(30), 2021, pp. 2898-2907.
IEEE DOI
2102
Noise measurement, Merging, Reliability, Adaptation models, Training,
Task analysis, Predictive models, Person re-identification,
representation learning
BibRef
Hou, H.P.[Hao-Peng],
Zhou, Y.[Yong],
Zhao, J.Q.[Jia-Qi],
Yao, R.[Rui],
Chen, Y.[Ying],
Zheng, Y.[Yi],
El Saddik, A.[Abdulmotaleb],
Unsupervised cross-domain person re-identification with
self-attention and joint-flexible optimization,
IVC(111), 2021, pp. 104191.
Elsevier DOI
2106
Person re-identification, Unsupervised domain adaptation,
Self-attention mechanism
BibRef
Zhang, H.[Hang],
Cao, H.H.[Huan-Huan],
Yang, X.[Xu],
Deng, C.[Cheng],
Tao, D.C.[Da-Cheng],
Self-Training With Progressive Representation Enhancement for
Unsupervised Cross-Domain Person Re-Identification,
IP(30), 2021, pp. 5287-5298.
IEEE DOI
2106
Cameras, Reliability, Training, Task analysis, Adaptation models,
Feature extraction, Data models, Person re-identification,
unsupervised domain adaptation
BibRef
Ding, C.X.[Chang-Xing],
Wang, K.[Kan],
Wang, P.F.[Peng-Fei],
Tao, D.C.[Da-Cheng],
Multi-Task Learning With Coarse Priors for Robust Part-Aware Person
Re-Identification,
PAMI(44), No. 3, March 2022, pp. 1474-1488.
IEEE DOI
2202
Feature extraction, Training, Task analysis, Robustness, Testing,
Tools, Person re-identification, part-based models, misalignment,
multi-task learning
BibRef
Zhong, Z.[Zhun],
Zheng, L.[Liang],
Luo, Z.M.[Zhi-Ming],
Li, S.Z.[Shao-Zi],
Yang, Y.[Yi],
Learning to Adapt Invariance in Memory for Person Re-Identification,
PAMI(43), No. 8, August 2021, pp. 2723-2738.
IEEE DOI
2107
BibRef
Earlier:
Invariance Matters:
Exemplar Memory for Domain Adaptive Person Re-Identification,
CVPR19(598-607).
IEEE DOI
2002
Training, Cameras, Adaptation models, Reliability, Australia,
Memory modules, Task analysis, Person re-identification,
graph-based positive prediction
BibRef
Dai, Y.X.[Yong-Xing],
Liu, J.[Jun],
Bai, Y.[Yan],
Tong, Z.K.[Ze-Kun],
Duan, L.Y.[Ling-Yu],
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised
Domain Adaptive Person Re-Identification,
IP(30), 2021, pp. 7815-7829.
IEEE DOI
2109
Noise measurement, Training, Prototypes, Reliability, Training data,
Adaptation models, Refining, Person re-ID, pseudo label noise
BibRef
Zhang, G.Q.[Guo-Qing],
Ge, Y.[Yu],
Dong, Z.C.[Zhi-Cheng],
Wang, H.[Hao],
Zheng, Y.H.[Yu-Hui],
Chen, S.Y.[Sheng-Yong],
Deep High-Resolution Representation Learning for Cross-Resolution
Person Re-Identification,
IP(30), 2021, pp. 8913-8925.
IEEE DOI
2111
Feature extraction, Image resolution, Task analysis,
Neural networks, Training, Superresolution, Semantics, deep learning
BibRef
Ye, M.[Mang],
Li, H.[He],
Du, B.[Bo],
Shen, J.B.[Jian-Bing],
Shao, L.[Ling],
Hoi, S.C.H.[Steven C. H.],
Collaborative Refining for Person Re-Identification With Label Noise,
IP(31), 2022, pp. 379-391.
IEEE DOI
2112
Training, Annotations, Noise measurement, Task analysis,
Representation learning, Deep learning, Training data,
label noise
BibRef
Zang, X.H.[Xiang-Hao],
Li, G.[Ge],
Gao, W.[Wei],
Shu, X.J.[Xiu-Jun],
Learning to disentangle scenes for person re-identification,
IVC(116), 2021, pp. 104330.
Elsevier DOI
2112
Person re-identification, Divide-and-conquer, Multi-branch network
BibRef
Zhang, Z.[Zhong],
Wang, Y.[Yanan],
Liu, S.[Shuang],
Xiao, B.H.[Bai-Hua],
Durrani, T.S.[Tariq S.],
Cross-Domain Person Re-Identification Using Heterogeneous
Convolutional Network,
CirSysVideo(32), No. 3, March 2022, pp. 1160-1171.
IEEE DOI
2203
Correlation, Feature extraction, Couplings, Convolution, Training,
Cameras, Loss measurement, Cross-domain person re-identification,
dual graph convolution
BibRef
Zhang, Z.[Zhong],
He, D.[Di],
Liu, S.[Shuang],
Cross-domain person re-identification via learning Heterogeneous
Pseudo Labels,
PR(166), 2025, pp. 111702.
Elsevier DOI
2505
Cross-domain person ReID, Heterogeneous Pseudo Labels, Contrastive learning
BibRef
Zhang, Z.[Zhong],
Zhang, H.J.[Hai-Jia],
Liu, S.[Shuang],
Xie, Y.[Yuan],
Durrani, T.S.[Tariq S.],
Part-guided graph convolution networks for person re-identification,
PR(120), 2021, pp. 108155.
Elsevier DOI
2109
Person re-identification, Graph convolution network
BibRef
Zhang, Z.[Zhong],
He, D.[Di],
Liu, S.[Shuang],
Xiao, B.H.[Bai-Hua],
Durrani, T.S.[Tariq S.],
Completed Part Transformer for Person Re-Identification,
MultMed(26), 2024, pp. 2303-2313.
IEEE DOI
2402
Transformers, Pedestrians, Task analysis, Subspace constraints,
Semantics, Feature extraction, Computational modeling, Person ReID,
adaptive refined tokens
BibRef
Pang, Z.Q.[Zhi-Qi],
Guo, J.F.[Ji-Feng],
Ma, Z.Q.[Zhi-Qiang],
Sun, W.B.[Wen-Bo],
Xiao, Y.B.[Yan-Bang],
Median Stable Clustering and Global Distance Classification for
Cross-Domain Person Re-Identification,
CirSysVideo(32), No. 5, May 2022, pp. 3164-3177.
IEEE DOI
2205
Feature extraction, Cameras, Training, Data mining, Sun, Sensitivity,
Loss measurement, Deep learning, domain adaptation,
unsupervised learning
BibRef
Jiang, M.[Ming],
Gao, J.T.[Jun-Tao],
Li, P.F.[Peng-Fei],
Zhang, M.[Min],
Cross-domain person re-identification based on background suppression
and identity consistency,
IET-IPR(16), No. 7, 2022, pp. 1924-1934.
DOI Link
2205
BibRef
Li, S.H.[Shi-Hua],
Yuan, M.K.[Ming-Kuan],
Chen, J.[Jie],
Hu, Z.L.[Zhi-Lan],
AdaDC: Adaptive Deep Clustering for Unsupervised Domain Adaptation in
Person Re-Identification,
CirSysVideo(32), No. 6, June 2022, pp. 3825-3838.
IEEE DOI
2206
Noise measurement, Clustering algorithms, Task analysis,
Adaptation models, Training, Supervised learning, Robustness,
person re-identification
BibRef
Dubourvieux, F.[Fabian],
Audigier, R.[Romaric],
Loesch, A.[Angélique],
Ainouz, S.[Samia],
Canu, S.[Stéphane],
A formal approach to good practices in Pseudo-Labeling for
Unsupervised Domain Adaptive Re-Identification,
CVIU(223), 2022, pp. 103527.
Elsevier DOI
2210
BibRef
Earlier:
Unsupervised Domain Adaptation for Person Re-Identification through
Source-Guided Pseudo-Labeling,
ICPR21(4957-4964)
IEEE DOI
2105
Re-identification, Unsupervised Domain Adaptation,
Pseudo-Labeling, Machine learning theory.
Training, Annotations, Training data, Cameras, Robustness,
Data models
BibRef
Loesch, A.[Angelique],
Audigier, R.[Romaric],
Describe Me If You Can! Characterized Instance-Level Human Parsing,
ICIP21(2528-2532)
IEEE DOI
2201
Image segmentation, Systematics, Image color analysis, Semantics,
Task analysis, Human parsing, Characterized attributes, Dataset,
Scalability
BibRef
Ruan, W.J.[Wei-Jian],
Tao, Y.[Yiran],
Ruan, L.J.[Lin-Jun],
Shu, X.J.[Xiu-Jun],
Qiao, Y.[Yu],
Temporal Weighting Appearance-Aligned Network for Nighttime Video
Retrieval,
SPLetters(29), 2022, pp. 2008-2012.
IEEE DOI
2210
Re-identification, low light conditions.
Task analysis, Feature extraction, Convolution, Surveillance,
Meteorology, Nighttime video retrieval, new benchmark, temporal weighting
BibRef
Tang, Y.Z.[Ying-Zhi],
Yang, X.[Xi],
Jiang, X.R.[Xin-Rui],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Dually Distribution Pulling Network for Cross-Resolution Person
Reidentification,
Cyber(52), No. 11, November 2022, pp. 12016-12027.
IEEE DOI
2211
Image resolution, Task analysis, Measurement, Cameras,
Feature extraction, Clutter, Visualization, Cross resolution,
super resolution (SR)
BibRef
Tang, C.R.[Chun-Ren],
Xue, D.Y.[Ding-Yu],
Chen, D.Y.[Dong-Yue],
Multi-level mutual supervision for cross-domain Person
Re-identification,
JVCIR(89), 2022, pp. 103674.
Elsevier DOI
2212
Unsupervised domain adaptation, Mutual supervision,
Person Re-identification, Cross domain
BibRef
Mohanty, A.[Anwesh],
Banerjee, B.[Biplab],
Velmurugan, R.[Rajbabu],
SSMTReID-Net: Multi-Target Unsupervised Domain Adaptation for Person
Re-Identification,
PRL(163), 2022, pp. 40-46.
Elsevier DOI
2212
Person re-identification, Multi-target domain adaptation, Information bottleneck
BibRef
Liu, Y.X.[Yu-Xuan],
Ge, H.W.[Hong-Wei],
Sun, L.[Liang],
Hou, Y.Q.[Ya-Qing],
Complementary Attention-Driven Contrastive Learning With Hard-Sample
Exploring for Unsupervised Domain Adaptive Person Re-ID,
CirSysVideo(33), No. 1, January 2023, pp. 326-341.
IEEE DOI
2301
Noise measurement, Feature extraction, Task analysis, Germanium,
Training, Cameras, Image color analysis, Person re-identification,
hard sample
BibRef
Luo, C.C.[Chuan-Chen],
Song, C.F.[Chun-Feng],
Zhang, Z.X.[Zhao-Xiang],
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person
Re-Identification,
PAMI(45), No. 2, February 2023, pp. 1963-1980.
IEEE DOI
2301
Cameras, Prototypes, Data models, Training, Interpolation, Benchmark testing,
Adaptation models, Person re-identification, self-paced learning
BibRef
Zhai, Y.P.[Yun-Peng],
Peng, P.X.[Pei-Xi],
Jia, M.X.[Meng-Xi],
Li, S.Y.[Shi-Yong],
Chen, W.Q.[Wei-Qiang],
Gao, X.S.[Xue-Song],
Tian, Y.H.[Yong-Hong],
Population-Based Evolutionary Gaming for Unsupervised Person
Re-identification,
IJCV(131), No. 1, January 2023, pp. 1-25.
Springer DOI
2301
BibRef
Zhai, Y.P.[Yun-Peng],
Ye, Q.X.[Qi-Xiang],
Lu, S.J.[Shi-Jian],
Jia, M.X.[Meng-Xi],
Ji, R.R.[Rong-Rong],
Tian, Y.H.[Yong-Hong],
Multiple Expert Brainstorming for Domain Adaptive Person
Re-identification,
ECCV20(VII:594-611).
Springer DOI
2011
BibRef
Chen, S.[Si],
Qiu, L.X.[Liu-Xiang],
Tian, Z.M.[Zi-Min],
Yan, Y.[Yan],
Wang, D.H.[Da-Han],
Zhu, S.Z.[Shun-Zhi],
MTNet: Mutual tri-training network for unsupervised domain adaptation
on person re-identification,
JVCIR(90), 2023, pp. 103749.
Elsevier DOI
2301
Deep learning, Person re-identification, Domain adaptation,
Mutual learning, Self-paced learning
BibRef
Zhou, W.[Wei],
Hou, Y.[Yi],
Xu, S.J.[Shi-Jun],
Zhou, S.L.[Shi-Lin],
An adaptive cross-scale transformer based on graph signal processing
for person re-identification,
IET-IPR(17), No. 8, 2023, pp. 2321-2335.
DOI Link
2306
cross-scale interaction, graph signal processing,
person re-identification, pure transformer model
BibRef
Si, T.Z.[Tong-Zhen],
He, F.[Fazhi],
Zhang, Z.[Zhong],
Duan, Y.S.[Yan-Song],
Hybrid Contrastive Learning for Unsupervised Person Re-Identification,
MultMed(25), 2023, pp. 4323-4334.
IEEE DOI
2310
BibRef
Ren, X.[Xuena],
Zhang, D.M.[Dong-Ming],
Bao, X.[Xiuguo],
Zhang, Y.D.[Yong-Dong],
S^2-Net:Semantic and Saliency Attention Network for Person
Re-Identification,
MultMed(25), 2023, pp. 4387-4399.
IEEE DOI Code:
WWW Link.
2310
BibRef
Tao, Y.S.[Yu-Sheng],
Zhang, J.[Jian],
Hong, J.J.[Jia-Jing],
Zhu, Y.S.[Yue-Sheng],
DREAMT: Diversity Enlarged Mutual Teaching for Unsupervised Domain
Adaptive Person Re-Identification,
MultMed(25), 2023, pp. 4586-4597.
IEEE DOI
2310
BibRef
Li, Y.[Yaoyu],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
Intra-Domain Consistency Enhancement for Unsupervised Person
Re-Identification,
MultMed(24), 2022, pp. 415-425.
IEEE DOI
2202
Ice, Collaboration, Adaptation models, Training, Cameras,
Noise measurement, Person re-identification,
unsupervised domain adaptation
BibRef
Yang, X.F.[Xiao-Feng],
Wang, Q.S.[Qian-Shan],
Li, W.K.[Wen-Kuan],
Zhou, Z.H.[Zi-Hao],
Li, H.F.[Hai-Fang],
Unsupervised Domain Adaptation Pedestrian Re-Identification Based on
an Improved Dissimilarity Space,
IVC(118), 2022, pp. 104354.
Elsevier DOI
2202
Transfer learning, Cross-domain, Pedestrian re-identification,
Maximum mean discrepancy, Dissimilarity space
BibRef
Wang, W.H.[Wen-Hao],
Zhao, F.[Fang],
Liao, S.C.[Sheng-Cai],
Shao, L.[Ling],
Attentive WaveBlock: Complementarity-Enhanced Mutual Networks for
Unsupervised Domain Adaptation in Person Re-Identification and Beyond,
IP(31), 2022, pp. 1532-1544.
IEEE DOI
2202
Task analysis, Neural networks, Clustering algorithms,
Adaptation models, Training, Pipelines, Reliability,
attentive WaveBlock
BibRef
Lu, Y.C.[Yi-Chen],
Deng, W.H.[Wei-Hong],
Transferring discriminative knowledge via connective momentum
clustering on person re-identification,
PR(126), 2022, pp. 108569.
Elsevier DOI
2204
Person re-identification, Unsupervised domain adaptation,
Graph convolutional networks, Momentum mechanism, Batch normalization
BibRef
Zheng, D.Y.[Ding-Yuan],
Xiao, J.[Jimin],
Chen, K.[Ke],
Huang, X.W.[Xiao-Wei],
Chen, L.[Lin],
Zhao, Y.[Yao],
Soft pseudo-Label shrinkage for unsupervised domain adaptive person
re-identification,
PR(127), 2022, pp. 108615.
Elsevier DOI
2205
Person re-identification, Unsupervised domain adaptation,
Clustering algorithms, Label noise, Soft pseudo-labels
BibRef
Dai, P.Y.[Ping-Yang],
Chen, P.X.[Pei-Xian],
Wu, Q.[Qiong],
Hong, X.P.[Xiao-Peng],
Ye, Q.X.[Qi-Xiang],
Tian, Q.[Qi],
Lin, C.W.[Chia-Wen],
Ji, R.R.[Rong-Rong],
Disentangling Task-Oriented Representations for Unsupervised Domain
Adaptation,
IP(31), 2022, pp. 1012-1026.
IEEE DOI
2201
Task analysis, Adaptation models, Image color analysis,
Vehicle dynamics, Linear programming, Image retrieval, Semantics,
person re-identification
BibRef
Tao, X.F.[Xue-Feng],
Kong, J.[Jun],
Jiang, M.[Min],
Liu, T.S.[Tian-Shan],
Unsupervised Domain Adaptation by Multi-Loss Gap Minimization
Learning for Person Re-Identification,
CirSysVideo(32), No. 7, July 2022, pp. 4404-4416.
IEEE DOI
2207
Cameras, Adaptation models, Minimization, Training, Task analysis,
Semantics, Data models, Unsupervised domain adaptation,
minimum camera discrepancy loss
BibRef
Li, M.K.[Ming-Kun],
Sun, H.[He],
Lin, C.Q.[Chao-Qun],
Li, C.G.[Chun-Guang],
Guo, J.[Jun],
The devil in the tail: Cluster consolidation plus cluster adaptive
balancing loss for unsupervised person re-identification,
PR(129), 2022, pp. 108763.
Elsevier DOI
2206
Unsupervised person re-identification, Cluster consolidation,
Cluster adaptive balancing loss, Long-tail problem
BibRef
Song, X.[Xulin],
Jin, Z.[Zhong],
Robust Label Rectifying With Consistent Contrastive-Learning for
Domain Adaptive Person Re-Identification,
MultMed(24), 2022, pp. 3229-3239.
IEEE DOI
2207
Noise measurement, Training, Feature extraction, Uncertainty,
Reliability, Estimation, Clustering algorithms,
person Re-ID
BibRef
Cheng, D.Q.[De-Qiang],
Li, J.H.[Jia-Han],
Kou, Q.Q.[Qi-Qi],
Zhao, K.[Kai],
Liu, R.H.[Rui-Hang],
H-net: Unsupervised domain adaptation person re-identification
network based on hierarchy,
IVC(124), 2022, pp. 104493.
Elsevier DOI
2208
Unsupervised domain adaptation, Person re-identification,
Hierarchical, Hardest sample
BibRef
Liu, Y.X.[Yi-Xiu],
Zhang, Y.Z.[Yun-Zhou],
Bhanu, B.[Bir],
Coleman, S.[Sonya],
Kerr, D.[Dermot],
Data Assimilation Network for Generalizable Person Re-Identification,
CirSysVideo(32), No. 8, August 2022, pp. 5536-5550.
IEEE DOI
2208
Data assimilation, Training, Adaptation models, Task analysis,
Estimation, Microstrip, Feature extraction,
progressive augmented memory
BibRef
Zheng, D.Y.[Ding-Yuan],
Xiao, J.[Jimin],
Wei, Y.C.[Yun-Chao],
Wang, Q.F.[Qiu-Feng],
Huang, K.[Kaizhu],
Zhao, Y.[Yao],
Unsupervised domain adaptation in homogeneous distance space for
person re-identification,
PR(132), 2022, pp. 108941.
Elsevier DOI
2209
Person re-identification, Unsupervised domain adaptation,
Distribution alignment, Clustering, Pseudo label
BibRef
Zhang, H.W.[Hong-Wei],
Zhang, G.Q.[Guo-Qing],
Chen, Y.H.[Yu-Hao],
Zheng, Y.H.[Yu-Hui],
Global Relation-Aware Contrast Learning for Unsupervised Person
Re-Identification,
CirSysVideo(32), No. 12, December 2022, pp. 8599-8610.
IEEE DOI
2212
Training, Cameras, Representation learning, Data models,
Computational modeling, Adaptation models, Information science,
representation learning
BibRef
Pedronette, D.C.G.[Daniel Carlos Guimarães],
Valem, L.P.[Lucas Pascotti],
da Silva Torres, R.[Ricardo],
A BFS-Tree of ranking references for unsupervised manifold learning,
PR(111), 2021, pp. 107666.
Elsevier DOI
2012
Content-based image retrieval, Unsupervised manifold learning,
Tree representation, Ranking references
BibRef
Valem, L.P.[Lucas Pascotti],
Pedronette, D.C.G.[Daniel Carlos Guimarães],
Latecki, L.J.[Longin Jan],
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold
Learning,
IP(32), 2023, pp. 2811-2826.
IEEE DOI
2305
Task analysis, Manifold learning, Feature extraction, Manifolds,
Convolutional neural networks, Technological innovation, person Re-ID
BibRef
Valem, L.P.[Lucas Pascotti],
Kawai, V.A.S.[Vinicius Atsushi Sato],
Pereira-Ferrero, V.H.[Vanessa Helena],
Pedronette, D.C.G.[Daniel Carlos Guimarães],
A Novel Rank Correlation Measure for Manifold Learning on Image
Retrieval and Person Re-ID,
ICIP22(1371-1375)
IEEE DOI
2211
Manifolds, Correlation, Current measurement, Image retrieval,
Machine learning, Transformers, Size measurement, rank correlation measures
BibRef
Zhang, G.Q.[Guo-Qing],
Zhang, H.W.[Hong-Wei],
Lin, W.S.[Wei-Si],
Chandran, A.K.[Arun Kumar],
Jing, X.[Xuan],
Camera Contrast Learning for Unsupervised Person Re-Identification,
CirSysVideo(33), No. 8, August 2023, pp. 4096-4107.
IEEE DOI
2308
Cameras, Training, Feature extraction, Computational modeling,
Complexity theory, Integrated circuit modeling, Data models, similarity metric
BibRef
Zhang, Y.F.[Yi-Fan],
Zhang, Z.[Zhang],
Li, D.[Da],
Jia, Z.[Zhen],
Wang, L.[Liang],
Tan, T.N.[Tie-Niu],
Learning Domain Invariant Representations for Generalizable Person
Re-Identification,
IP(32), 2023, pp. 509-523.
IEEE DOI
2301
Data models, Correlation, Adaptation models, Training, Feature extraction,
Analytical models, Representation learning, backdoor adjustment
BibRef
Verma, A.[Astha],
Subramanyam, A.V.,
Wang, Z.[Zheng],
Satoh, S.[Shin'ichi],
Shah, R.R.[Rajiv Ratn],
Unsupervised Domain Adaptation for Person Re-Identification Via
Individual-Preserving and Environmental-Switching Cyclic Generation,
MultMed(25), 2023, pp. 364-377.
IEEE DOI
2302
Adaptation models, Cameras, Training, Data models, Task analysis,
Generative adversarial networks, Feature extraction, GAN
BibRef
Yang, F.X.[Feng-Xiang],
Weng, J.J.[Juan-Juan],
Zhong, Z.[Zhun],
Liu, H.[Hong],
Wang, Z.[Zheng],
Luo, Z.M.[Zhi-Ming],
Cao, D.L.[Dong-Lin],
Li, S.Z.[Shao-Zi],
Satoh, S.[Shin'ichi],
Sebe, N.[Nicu],
Towards Robust Person Re-Identification by Defending Against
Universal Attackers,
PAMI(45), No. 4, April 2023, pp. 5218-5235.
IEEE DOI
2303
Training, Perturbation methods, Adaptation models, Robustness,
Task analysis, Resists, Generators, Person Re-Identification,
Meta-Learning
BibRef
Yang, F.X.[Feng-Xiang],
Zhong, Z.[Zhun],
Luo, Z.M.[Zhi-Ming],
Cai, Y.Z.[Yuan-Zheng],
Lin, Y.J.[Yao-Jin],
Li, S.Z.[Shao-Zi],
Sebe, N.[Nicu],
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for
Unsupervised Person Re-Identification,
CVPR21(4853-4862)
IEEE DOI
2111
Training, Adaptation models, Heuristic algorithms,
Clustering algorithms, Training data, Resists, Cameras
BibRef
Zhao, Y.Y.[Yu-Yang],
Zhong, Z.[Zhun],
Yang, F.X.[Feng-Xiang],
Luo, Z.M.[Zhi-Ming],
Lin, Y.J.[Yao-Jin],
Li, S.Z.[Shao-Zi],
Sebe, N.[Nicu],
Learning to Generalize Unseen Domains via Memory-based Multi-Source
Meta-Learning for Person Re-Identification,
CVPR21(6273-6282)
IEEE DOI
2111
Training, Data privacy, Computational modeling,
Benchmark testing, Data models
BibRef
Chen, F.[Feng],
Wang, N.[Nian],
Tang, J.[Jun],
Yan, P.[Pu],
Yu, J.[Jun],
Unsupervised person re-identification via multi-domain joint learning,
PR(138), 2023, pp. 109369.
Elsevier DOI
2303
Person re-identification, Data augmentation, Domain adaptation,
Unsupervised learning
BibRef
Lan, L.[Long],
Teng, X.[Xiao],
Zhang, J.[Jing],
Zhang, X.[Xiang],
Tao, D.C.[Da-Cheng],
Learning to Purification for Unsupervised Person Re-Identification,
IP(32), 2023, pp. 3338-3353.
IEEE DOI
2307
Adaptation models, Training, Purification, Noise measurement,
Clustering algorithms, Task analysis, Unsupervised learning,
unsupervised person ReID
BibRef
Chen, K.X.[Kai-Xiang],
Gong, T.T.[Tian-Tian],
Zhang, L.Y.[Li-Yan],
Camera-Aware Recurrent Learning and Earth Mover's Test-Time Adaption
for Generalizable Person Re-Identification,
CirSysVideo(34), No. 1, January 2024, pp. 357-370.
IEEE DOI
2401
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],
Transfer easy to hard: Adversarial contrastive feature learning for
unsupervised person re-identification,
PR(145), 2024, pp. 109973.
Elsevier DOI
2311
Person re-identification, Unsupervised learning, Hard sample generation
BibRef
Weng, J.F.[Jian-Feng],
Hu, K.[Kun],
Yao, T.T.[Ting-Ting],
Wang, J.Y.[Jing-Ya],
Wang, Z.Y.[Zhi-Yong],
Federated Unsupervised Cluster-Contrastive learning for person
Re-identification: A coarse-to-fine approach,
CVIU(237), 2023, pp. 103831.
Elsevier DOI
2311
Federated learning, Unsupervised learning,
Person Re-identification, Contrastive learning, Clustering
BibRef
Sun, J.[Jia],
Li, Y.F.[Yan-Feng],
Chen, L.[Luyifu],
Chen, H.[Houjin],
Peng, W.[Wanru],
Multiple integration model for single-source domain generalizable
person re-identification,
JVCIR(98), 2024, pp. 104037.
Elsevier DOI
2402
Person re-identification, Single-source domain generalization,
Multiple integration
BibRef
Zhang, B.[Baohua],
Wu, D.Y.[Dong-Yang],
Lu, X.Q.[Xiao-Qi],
Li, Y.X.[Yong-Xiang],
Gu, Y.[Yu],
Li, J.J.[Jian-Jun],
Wang, J.Y.[Jing-Yu],
A domain generalized person re-identification algorithm based on
meta-bond domain alignment?,
JVCIR(98), 2024, pp. 104054.
Elsevier DOI
2402
Person re-identification, Domain generalization, Meta-learning, Domain alignment
BibRef
Chen, Z.[Zining],
Wang, W.Q.[Wei-Qiu],
Zhao, Z.C.[Zhi-Cheng],
Su, F.[Fei],
Men, A.[Aidong],
Dong, Y.[Yuan],
Cluster-Instance Normalization: A Statistical Relation-Aware
Normalization for Generalizable Person Re-Identification,
MultMed(26), 2024, pp. 3554-3566.
IEEE DOI
2402
Training, Metalearning, Task analysis, Cameras,
Representation learning, Measurement, Degradation,
generalizable person re-identification
BibRef
Rao, H.C.[Hao-Cong],
Leung, C.[Cyril],
Miao, C.Y.[Chun-Yan],
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard
Skeleton Mining for Unsupervised Person Re-identification,
IJCV(132), No. 1, January 2024, pp. 238-260.
Springer DOI
2402
BibRef
Earlier: A1, A3, Only:
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive
Learning with Structure-Trajectory Prompted Reconstruction for Person
Re-Identification,
CVPR23(22118-22128)
IEEE DOI
2309
BibRef
Yu, Y.[Yang],
Liu, L.L.[Long-Long],
Zhu, Y.[Ye],
Cen, S.X.[Shi-Xin],
Li, Y.[Yang],
MCGCN: Multi-Correlation Graph Convolutional Network for Pedestrian
Attribute Recognition,
IEICE(E108-D), No. 3, March 2024, pp. 400-410.
WWW Link.
2403
BibRef
Han, G.X.[Guang-Xing],
Zhang, X.[Xuan],
Li, C.[Chongrong],
One-Shot Unsupervised Cross-Domain Person Re-Identification,
CirSysVideo(34), No. 3, March 2024, pp. 1339-1351.
IEEE DOI
2403
Training, Adaptation models, Task analysis, Testing,
Representation learning, Data models, Training data,
unsupervised image-to-image translation
BibRef
He, Q.L.[Qiao-Lin],
Wang, Z.H.[Zi-Han],
Zheng, Z.J.[Zhi-Jie],
Hu, H.F.[Hai-Feng],
Spatial and Temporal Dual-Attention for Unsupervised Person
Re-Identification,
ITS(25), No. 2, February 2024, pp. 1953-1965.
IEEE DOI Code:
WWW Link.
2402
Noise measurement, Training, Unsupervised learning,
Adaptation models, Costs, Aggregates, Task analysis, contrastive learning
BibRef
Ke, X.[Xiao],
Liu, H.[Hao],
Xu, P.[Peirong],
Lin, X.[Xinru],
Guo, W.Z.[Wen-Zhong],
Text-Based Person Search via Cross-Modal Alignment Learning,
PR(152), 2024, pp. 110481.
Elsevier DOI
2405
Person re-identification, Image-text retrieval, Cross-modality, CNN
BibRef
Liu, C.[Chang],
Li, H.Q.[Hao-Qi],
He, X.[Xuan],
Yang, G.Z.[Guan-Zhong],
Li, Z.Y.[Zhi-Yong],
Attribute discrimination combined with selected sample dropout for
unsupervised domain adaptive person re-identification,
IVC(146), 2024, pp. 105038.
Elsevier DOI
2405
Person re-identification, Unsupervised learning,
Domain adaptation, Pseudo label noise, Gender attribute recognition
BibRef
Ling, Y.G.[Yong-Guo],
Zhong, Z.[Zhun],
Luo, Z.M.[Zhi-Ming],
Li, S.[Shaozi],
Sebe, N.[Nicu],
Bridge Gap in Pixel and Feature Level for Cross-Modality Person
Re-Identification,
CirSysVideo(34), No. 6, June 2024, pp. 5104-5117.
IEEE DOI
2406
Feature extraction, Measurement, Lighting, Generative adversarial networks,
Cameras, Task analysis, Training, modality alignment
BibRef
Tao, X.F.[Xue-Feng],
Kong, J.[Jun],
Jiang, M.[Min],
Luo, X.[Xi],
Liu, T.S.[Tian-Shan],
Patch-based tendency camera multi-constraint learning for
unsupervised person re-identification,
JVCIR(101), 2024, pp. 104180.
Elsevier DOI
2406
Unsupervised person re-identification, Ranking tendency similarity,
Adaptive camera multi-constraint loss
BibRef
Guo, J.T.[Jiang-Tao],
Du, H.[Haishun],
Hao, X.X.[Xin-Xin],
Zhang, M.H.[Ming-Hao],
IGIE-net: Cross-modality person re-identification via intermediate
modality image generation and discriminative information enhancement,
IVC(147), 2024, pp. 105066.
Elsevier DOI
2406
Cross-modality person re-identification,
Intermediate modality image generation, Modality-shared information
BibRef
Zou, Z.[Zilin],
Chen, Y.[Ying],
Modality interactive attention for cross-modality person
re-identification,
IVC(148), 2024, pp. 105128.
Elsevier DOI
2407
Person re-identification, Cross-modality, Modality interactive,
Attention mechanism
BibRef
Xian, Y.Q.[Yu-Qiao],
Peng, Y.X.[Yi-Xing],
Sun, X.[Xing],
Zheng, W.S.[Wei-Shi],
Distilling consistent relations for multi-source domain adaptive
person re-identification,
PR(157), 2025, pp. 110821.
Elsevier DOI
2409
Person re-identification, Multiple domains, Visual surveillance
BibRef
Qi, L.[Lei],
Liu, Z.[Ziang],
Shi, Y.H.[Ying-Huan],
Geng, X.[Xin],
Generalizable Metric Network for Cross-Domain Person
Re-Identification,
CirSysVideo(34), No. 10, October 2024, pp. 9039-9052.
IEEE DOI
2411
Task analysis, Training, Extraterrestrial measurements,
Public security, Labeling, Feature extraction, Cameras,
person re-identification
BibRef
Hu, B.Y.[Bing-Yu],
Liu, J.W.[Jia-Wei],
Zheng, Y.F.[Yu-Fei],
Zheng, K.C.[Ke-Cheng],
Zha, Z.J.[Zheng-Jun],
Exert Diversity and Mitigate Bias: Domain Generalizable Person
Re-identification with a Comprehensive Benchmark,
IJCV(132), No. 11, November 2024, pp. 5124-5150.
Springer DOI
2411
BibRef
Ran, Z.D.[Zhi-Dan],
Lu, X.B.[Xiao-Bo],
Wei, X.[Xuan],
Liu, W.[Wei],
Camera-Aware Graph Multi-Domain Adaptive Learning for Unsupervised
Person Re-Identification,
PR(161), 2025, pp. 111217.
Elsevier DOI
2502
Unsupervised person re-identification,
Heterogeneous graph learning, Adversarial learning
BibRef
Lee, G.[Geon],
Lee, S.H.[Sang-Hoon],
Kim, D.[Dohyung],
Shin, Y.[Younghoon],
Yoon, Y.[Yongsang],
Ham, B.[Bumsub],
Camera-Driven Representation Learning for Unsupervised Domain
Adaptive Person Re-identification,
ICCV23(11419-11428)
IEEE DOI
2401
BibRef
Xu, W.H.[Wen-Hao],
Shao, Z.Y.[Zhi-Yin],
Ding, C.X.[Chang-Xing],
Mining False Positive Examples for Text-Based Person
Re-Identification,
ICIP23(1680-1684)
IEEE DOI Code:
WWW Link.
2312
BibRef
Li, A.[Angze],
Mao, S.S.[Sha-Sha],
Xiong, L.[Lin],
Qi, M.N.[Meng-Nan],
Gou, S.P.[Shui-Ping],
Jiao, L.C.[Li-Cheng],
A CAM-Enhancing Generative Person Re-ID Method Based Global and Local
Features,
ICIP23(2355-2359)
IEEE DOI
2312
BibRef
Li, H.[He],
Shi, Y.X.[Yu-Xuan],
Ling, H.[Hefei],
Li, Z.Y.[Zong-Yi],
Wang, R.S.[Run-Sheng],
Zhao, C.X.[Cheng-Xin],
Li, P.[Ping],
MEGL: Multi-Experts Guided Learning Network for Single Camera
Training Person Re-Identification,
ICIP23(2645-2649)
IEEE DOI
2312
BibRef
Chouchane, A.[Ammar],
Ouamane, A.[Abdelmalik],
Himeur, Y.[Yassine],
Mansoor, W.[Wathiq],
Atalla, S.[Shadi],
Benzaibak, A.[Afaf],
Boudellal, C.[Chahrazed],
Improving CNN-based Person Re-identification using score
Normalization,
ICIP23(2890-2894)
IEEE DOI
2312
BibRef
Peng, Y.[Yang],
Liu, P.[Ping],
Yang, X.Y.[Xi-Yuan],
Zhou, P.[Pan],
Luo, Y.W.[Ya-Wei],
Liu, J.G.[Jin-Gen],
Unsupervised Domain Adaptive Person Re-Identification with Adaptive
Structure Learning,
ICIP23(850-854)
IEEE DOI
2312
BibRef
Park, S.[Sungyeon],
Shin, H.[Hyunhak],
Yun, S.[Sangbin],
Yang, S.[Seongyeop],
Lim, J.[Jeongeun],
Noh, S.[Seungin],
Domain Generalization Method for Person Re-Id Using Metabin and
Mixstyle,
ICIP23(860-864)
IEEE DOI
2312
BibRef
Mekhazni, D.[Djebril],
Dufau, M.[Maximilien],
Desrosiers, C.[Christian],
Pedersoli, M.[Marco],
Granger, E.[Eric],
Camera Alignment and Weighted Contrastive Learning for Domain
Adaptation in Video Person ReID,
WACV23(1624-1633)
IEEE DOI
2302
Training, Representation learning, Adaptation models, Mars,
Target tracking, Lighting, Cameras
BibRef
Xian, Y.Q.[Yu-Qiao],
Yang, J.R.[Jin-Rui],
Yu, F.[Fufu],
Zhang, J.[Jun],
Sun, X.[Xing],
Graph-Based Self-Learning for Robust Person Re-identification,
WACV23(4778-4787)
IEEE DOI
2302
Training, Deep learning, Visualization, Annotations, Training data,
Network architecture, body pose
BibRef
Zunino, A.[Andrea],
Murray, C.[Christopher],
Blythman, R.[Richard],
Murino, V.[Vittorio],
Which Expert Knows Best? Modulating Soft Learning with Online Batch
Confidence for Domain Adaptive Person Re-identification,
RealWorld22(594-607).
Springer DOI
2304
BibRef
Guo, J.W.[Jing-Wen],
Liu, H.[Hong],
Shi, W.[Wei],
Tang, H.[Hao],
Wu, J.B.[Jian-Bing],
Unsupervised Domain Adaptation Person Re-Identification by
Camera-Aware Style Decoupling and Uncertainty Modeling,
ICIP22(761-765)
IEEE DOI
2211
Representation learning, Adaptation models, Uncertainty,
Estimation, Network architecture, Benchmark testing, Cameras,
uncertainty estimation
BibRef
Zhang, P.Y.[Peng-Yi],
Dou, H.Z.[Huan-Zhang],
Yu, Y.L.[Yun-Long],
Li, X.[Xi],
Adaptive Cross-Domain Learning for Generalizable Person
Re-identification,
ECCV22(XIV:215-232).
Springer DOI
2211
BibRef
Xu, B.Q.[Bo-Qiang],
Liang, J.[Jian],
He, L.X.[Ling-Xiao],
Sun, Z.A.[Zhen-An],
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person
Re-identification,
ECCV22(XIV:372-388).
Springer DOI
2211
BibRef
Ni, H.[Hao],
Song, J.K.[Jing-Kuan],
Luo, X.P.[Xiao-Peng],
Zheng, F.[Feng],
Li, W.[Wen],
Shen, H.T.[Heng Tao],
Meta Distribution Alignment for Generalizable Person
Re-Identification,
CVPR22(2477-2486)
IEEE DOI
2210
Training, Adaptation models, Codes, Machine vision,
Computational modeling, Benchmark testing,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Ding, J.[Jin],
Zhou, X.[Xue],
Learning Feature Fusion for Unsupervised Domain Adaptive Person
Re-identification,
ICPR22(2613-2619)
IEEE DOI
2212
Training, Adaptation models, Visualization, Frequency modulation,
Fuses, Annotations, Source coding
BibRef
Lin, C.Z.[Cheng-Zhi],
Wu, A.[Ancong],
Zheng, W.S.[Wei-Shi],
Learning Multi-Context Dynamic Listwise Relation for Generalizable
Person Re-Identification,
ICPR22(2620-2627)
IEEE DOI
2212
Measurement, Visualization, Perturbation methods, Aggregates,
Supervised learning, Lighting, Benchmark testing,
context
BibRef
Putzu, L.[Lorenzo],
Loddo, A.[Andrea],
Delussu, R.[Rita],
Fumera, G.[Giorgio],
Specialise to Generalise: The Person Re-identification Case,
CIAP23(II:381-392).
Springer DOI
2312
BibRef
Earlier: A3, A1, A4, Only:
On the Effectiveness of Synthetic Data Sets for Training Person
Re-identification Models,
ICPR22(1208-1214)
IEEE DOI
2212
Training, Performance evaluation, Visualization, Photorealism,
Annotations, Training data, Manuals
BibRef
Chen, K.X.[Kai-Xiang],
Gong, T.T.[Tian-Tian],
Zhang, L.Y.[Li-Yan],
Weighted Supervised Contrastive Learning and Domain Mixture for
Generalized Person Re-Identification,
ICIP22(2606-2610)
IEEE DOI
2211
Training, Benchmark testing, Person re-identification,
domain generalization, contrastive loss
BibRef
Takeuchi, S.[Shun],
Li, F.[Fei],
Iwasaki, S.[Sho],
Ning, J.Q.[Jia-Qi],
Suzuki, G.[Genta],
Unsupervised Domain-Adaptive Person Re-Identification with
Multi-Camera Constraints,
ICIP22(1636-1640)
IEEE DOI
2211
Training, Degradation, Adaptation models, Costs, Adaptive systems,
Training data, deep learning, person re-identification, feature selection
BibRef
Huang, Z.P.[Zhi-Peng],
Zhang, Z.Z.[Zhi-Zheng],
Lan, C.L.[Cui-Ling],
Zeng, W.J.[Wen-Jun],
Chu, P.[Peng],
You, Q.Z.[Quan-Zeng],
Wang, J.[Jiang],
Liu, Z.C.[Zi-Cheng],
Zha, Z.J.[Zheng-Jun],
Lifelong Unsupervised Domain Adaptive Person Re-identification with
Coordinated Anti-forgetting and Adaptation,
CVPR22(14268-14277)
IEEE DOI
2210
Adaptation models, Data privacy, Target recognition,
Machine vision, Data models,
Self- semi- meta- Vision applications and systems
BibRef
Rami, H.[Hamza],
Giraldo, J.H.[Jhony H.],
Winckler, N.[Nicolas],
Lathuilière, S.[Stéphane],
Source-Guided Similarity Preservation for Online Person
Re-Identification,
WACV24(1700-1709)
IEEE DOI
2404
Adaptation models, Data privacy, Streaming media,
Benchmark testing, Feature extraction, Regulation, Algorithms,
ethical computer vision
BibRef
Rami, H.[Hamza],
Ospici, M.[Matthieu],
Lathuilière, S.[Stéphane],
Online Unsupervised Domain Adaptation for Person Re-identification,
CLVision22(3829-3838)
IEEE DOI
2210
Training, Adaptation models, Privacy, Benchmark testing, Data models
BibRef
Dai, Y.X.[Yong-Xing],
Liu, J.[Jun],
Sun, Y.F.[Yi-Fan],
Tong, Z.K.[Ze-Kun],
Zhang, C.[Chi],
Duan, L.Y.[Ling-Yu],
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID,
ICCV21(11844-11854)
IEEE DOI
2203
Bridges, Manifolds, Adaptation models, Codes, Benchmark testing,
Task analysis, Image and video retrieval
BibRef
Liu, C.T.[Chih-Ting],
Lee, M.Y.[Man-Yu],
Chen, T.S.[Tsai-Shien],
Chien, S.Y.[Shao-Yi],
Hard Samples Rectification for Unsupervised Cross-Domain Person
Re-Identification,
ICIP21(429-433)
IEEE DOI
2201
Image processing, Supervised learning, Benchmark testing, Cameras,
Task analysis, Person re-identification, unsupervised learning, computer vision
BibRef
Xu, J.C.[Jia-Chen],
Wang, M.[Min],
Gong, J.Y.[Jing-Yu],
Liu, W.T.[Wen-Tao],
Qian, C.[Chen],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
Exploring Versatile Prior for Human Motion via Motion Frequency
Guidance,
3DV21(606-616)
IEEE DOI
2201
Training, Representation learning, Codes, Motion segmentation,
Noise reduction, Probability distribution
BibRef
Bai, Z.C.[Ze-Chen],
Wang, Z.G.[Zhi-Gang],
Wang, J.[Jian],
Hu, D.[Di],
Ding, E.[Errui],
Unsupervised Multi-Source Domain Adaptation for Person
Re-Identification,
CVPR21(12909-12918)
IEEE DOI
2111
Training, Adaptation models, Fuses, Data models,
Task analysis
BibRef
Yang, M.L.[Ming-Liang],
Zhao, J.[Jing],
Huang, D.[Da],
Wang, J.[Ji],
Progressive Unsupervised Domain Adaptation for Image-based Person
Re-Identification,
ICPR21(7730-7736)
IEEE DOI
2105
Training, Adaptation models, Annotations, Manuals,
Feature extraction, Reliability
BibRef
Lin, C.S.[Ci-Siang],
Cheng, Y.C.[Yuan-Chia],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Domain Generalized Person Re-Identification via Cross-Domain Episodic
Learning,
ICPR21(6758-6763)
IEEE DOI
2105
Training, Image recognition, Training data,
Benchmark testing, Feature extraction, Cameras
BibRef
Delussu, R.[Rita],
Putzu, L.[Lorenzo],
Fumera, G.[Giorgio],
Roli, F.[Fabio],
Online Domain Adaptation for Person Re-Identification with a Human in
the Loop,
ICPR21(3829-3836)
IEEE DOI
2105
Radio frequency, Training, Deep learning, Adaptation models,
Protocols, Image retrieval, Cameras
BibRef
Xu, S.[Simin],
Luo, L.K.[Ling-Kun],
Hu, S.Q.[Shi-Qiang],
Attention-based Model with Attribute Classification for Cross-domain
Person Re-identification,
ICPR21(9149-9155)
IEEE DOI
2105
Training, Adaptation models, Training data, Lighting,
Predictive models, Feature extraction, Cameras
BibRef
Zheng, Y.[Yi],
Tang, S.X.[Shi-Xiang],
Teng, G.L.[Guo-Long],
Ge, Y.X.[Yi-Xiao],
Liu, K.J.[Kai-Jian],
Qin, J.[Jing],
Qi, D.L.[Dong-Lian],
Chen, D.P.[Da-Peng],
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for
Adaptive Person Re-identification,
ICCV21(8351-8361)
IEEE DOI
2203
Training, Adaptation models, Heuristic algorithms,
Computational modeling, Clustering methods, Semantics, Representation learning
BibRef
Sun, Z.Z.[Zong-Zhe],
Zhao, F.[Feng],
Wu, F.[Feng],
Unsupervised Person Re-Identification Via Global-Level and
Patch-Level Discriminative Feature Learning,
ICIP21(2363-2367)
IEEE DOI
2201
Image processing, Benchmark testing, Data models,
Person re-identification, unsupervised learning, domain adaptation
BibRef
Dai, Y.X.[Yong-Xing],
Li, X.T.[Xiao-Tong],
Liu, J.[Jun],
Tong, Z.K.[Ze-Kun],
Duan, L.Y.[Ling-Yu],
Generalizable Person Re-identification with Relevance-aware Mixture
of Experts,
CVPR21(16140-16149)
IEEE DOI
2111
Training, Adaptation models, Pipelines,
Decorrelation, Testing
BibRef
Chen, H.[Hao],
Wang, Y.[Yaohui],
Lagadec, B.[Benoit],
Dantcheva, A.[Antitza],
Bremond, F.[Francois],
Joint Generative and Contrastive Learning for Unsupervised Person
Re-identification,
CVPR21(2004-2013)
IEEE DOI
2111
Training, Adaptation models,
Codes, Image synthesis, Generative adversarial networks
BibRef
Yan, T.Y.[Tian-Yi],
Guo, H.Y.[Hai-Yun],
Liu, S.Y.[Song-Yan],
Zhao, C.Y.[Chao-Yang],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Unsupervised Domain Adaptive Re-identification with Feature Adversarial
Learning and Self-similarity Clustering,
MLCSA20(20-35).
Springer DOI
2103
BibRef
Wang, G.,
Lai, J.,
Liang, W.,
Wang, G.,
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for
Cross-Domain Person Re-Identification,
CVPR20(10565-10574)
IEEE DOI
2008
Cameras, Task analysis, Smoothing methods, Scalability,
Benchmark testing, Clustering methods
BibRef
Luo, C.C.[Chuan-Chen],
Song, C.F.[Chun-Feng],
Zhang, Z.X.[Zhao-Xiang],
Generalizing Person Re-identification by Camera-aware Invariance
Learning and Cross-Domain Mixup,
ECCV20(XV:224-241).
Springer DOI
2011
BibRef
Li, J.N.[Jia-Ning],
Zhang, S.L.[Shi-Liang],
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive
Person Re-identification,
ECCV20(XXIV:483-499).
Springer DOI
2012
BibRef
Galanakis, G.[George],
Zabulis, X.[Xenophon],
Argyros, A.A.[Antonis A.],
Unsupervised Domain Adaptation for Person Re-Identification with Few
and Unlabeled Target Data,
ISVC20(II:357-373).
Springer DOI
2103
BibRef
Zhao, F.[Fang],
Liao, S.C.[Sheng-Cai],
Xie, G.S.[Guo-Sen],
Zhao, J.[Jian],
Zhang, K.[Kaihao],
Shao, L.[Ling],
Unsupervised Domain Adaptation with Noise Resistible Mutual-training
for Person Re-identification,
ECCV20(XI:526-544).
Springer DOI
2011
BibRef
Zhai, Y.,
Lu, S.,
Ye, Q.,
Shan, X.,
Chen, J.,
Ji, R.,
Tian, Y.,
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive
Person Re-Identification,
CVPR20(9018-9027)
IEEE DOI
2008
Adaptation models, Cameras, Feature extraction, Generators,
Predictive models, Optimization, Training
BibRef
Mekhazni, D.[Djebril],
Bhuiyan, A.[Amran],
Ekladious, G.[George],
Granger, E.[Eric],
Unsupervised Domain Adaptation in the Dissimilarity Space for Person
Re-identification,
ECCV20(XXVII:159-174).
Springer DOI
2011
BibRef
Kumar, D.,
Siva, P.,
Marchwica, P.,
Wong, A.,
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal
Clustering and Large-Scale Heterogeneous Environment Synthesis,
WACV20(2634-2643)
IEEE DOI
2006
Target tracking, Cameras, Euclidean distance, Iterative methods,
Training, Lighting
BibRef
Li, Y.,
Lin, C.,
Lin, Y.,
Wang, Y.F.,
Cross-Dataset Person Re-Identification via Unsupervised Pose
Disentanglement and Adaptation,
ICCV19(7918-7928)
IEEE DOI
2004
feature extraction, image representation,
learning (artificial intelligence), pose estimation, Training
BibRef
Wei, L.,
Zhang, S.,
Gao, W.,
Tian, Q.,
Person Transfer GAN to Bridge Domain Gap for Person Re-identification,
CVPR18(79-88)
IEEE DOI
1812
Cameras, Lighting, Videos, Task analysis, Training, Testing
BibRef
Xu, F.R.[Fu-Rong],
Ma, B.P.[Bing-Peng],
Chang, H.[Hong],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Style Transfer with Adversarial Learning for Cross-Dataset Person
Re-identification,
ACCV18(VI:165-180).
Springer DOI
1906
BibRef
Deng, W.,
Zheng, L.,
Ye, Q.,
Kang, G.,
Yang, Y.,
Jiao, J.,
Image-Image Domain Adaptation with Preserved Self-Similarity and
Domain-Dissimilarity for Person Re-identification,
CVPR18(994-1003)
IEEE DOI
1812
Training, Generators, Training data,
Generative adversarial networks, Learning systems,
Estimation
BibRef
Zhang, X.,
Cao, J.,
Shen, C.,
You, M.,
Self-Training With Progressive Augmentation for Unsupervised
Cross-Domain Person Re-Identification,
ICCV19(8221-8230)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image classification, image representation, object recognition,
Adaptation models
BibRef
Qi, L.,
Wang, L.,
Huo, J.,
Zhou, L.,
Shi, Y.,
Gao, Y.,
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for
Person Re-Identification,
ICCV19(8079-8088)
IEEE DOI
2004
cameras, face recognition, image representation,
unsupervised learning, discriminative information, Image resolution
BibRef
Fu, Y.,
Wei, Y.,
Wang, G.,
Zhou, Y.,
Shi, H.,
Uiuc, U.,
Huang, T.,
Self-Similarity Grouping: A Simple Unsupervised Cross Domain
Adaptation Approach for Person Re-Identification,
ICCV19(6111-6120)
IEEE DOI
2004
Code, Re-Identification.
WWW Link. pattern clustering, unsupervised learning, DukeMTMC?Market1501,
clustering-guided semisupervised approach,
Machine learning
BibRef
Zheng, K.[Kecheng],
Liu, W.[Wu],
He, L.X.[Ling-Xiao],
Mei, T.[Tao],
Luo, J.B.[Jie-Bo],
Zha, Z.J.[Zheng-Jun],
Group-Aware Label Transfer for Domain Adaptive Person
Re-Identification,
CVPR21(5306-5315)
IEEE DOI
2111
Training, Costs, Annotations, Refining,
Clustering algorithms, Prediction algorithms
BibRef
Liu, J.W.[Jia-Wei],
Zha, Z.J.[Zheng-Jun],
Chen, D.[Di],
Hong, R.C.[Ri-Chang],
Wang, M.[Meng],
Adaptive Transfer Network for Cross-Domain Person Re-Identification,
CVPR19(7195-7204).
IEEE DOI
2002
BibRef
Song, J.[Jifei],
Yang, Y.X.[Yong-Xin],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Generalizable Person Re-Identification by Domain-Invariant Mapping
Network,
CVPR19(719-728).
IEEE DOI
2002
BibRef
Zou, Y.[Yang],
Yang, X.D.[Xiao-Dong],
Yu, Z.[Zhiding],
Kumar, B.V.K.V.[B. V. K. Vijaya],
Kautz, J.[Jan],
Joint Disentangling and Adaptation for Cross-domain Person
Re-identification,
ECCV20(II:87-104).
Springer DOI
2011
BibRef
Chen, G.Y.[Guang-Yi],
Lu, Y.H.[Yu-Hao],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person
Re-identification,
ECCV20(VIII:643-659).
Springer DOI
2011
BibRef
Zhu, X.,
Morerio, P.,
Murino, V.,
Unsupervised Domain-Adaptive Person Re-Identification Based on
Attributes,
ICIP19(4110-4114)
IEEE DOI
1910
Person re-identification, unsupervised domain adaptation,
unsupervised person re-identification, pedestrian attributes
BibRef
Li, D.,
Li, D.,
Zhang, Z.,
Wang, L.,
Tan, T.,
Unsupervised Cross-Domain Person Re-Identification: A New Framework,
ICIP19(1222-1226)
IEEE DOI
1910
Unsupervised Person Re-identification, Cross Domain,
Image Translation, Image Clustering
BibRef
Khan, F.,
Bremond, F.,
Cross Domain Residual Transfer Learning for Person Re-Identification,
WACV19(2019-2028)
IEEE DOI
1904
feature extraction, image matching, image recognition,
learning (artificial intelligence), neural nets,
Feature extraction
BibRef
Bak, S.[Slawomir],
Carr, P.[Peter],
Lalonde, J.F.[Jean-François],
Domain Adaptation Through Synthesis for Unsupervised Person
Re-identification,
ECCV18(XIII: 193-209).
Springer DOI
1810
BibRef
Schumann, A.,
Gong, S.,
Schuchert, T.,
Deep learning prototype domains for person re-identification,
ICIP17(1767-1771)
IEEE DOI
1803
Adaptation models, Cameras, Data models, Machine learning,
Prototypes, Training, Visualization, Deep Learning,
Transfer Learning
BibRef
Huang, Y.,
Wu, Q.,
Xu, J.,
Zhong, Y.,
SBSGAN: Suppression of Inter-Domain Background Shift for Person
Re-Identification,
ICCV19(9526-9535)
IEEE DOI
2004
feature extraction, image segmentation, neural nets,
densely associated 2-stream network
BibRef
Chen, Y.,
Zhu, X.,
Gong, S.,
Instance-Guided Context Rendering for Cross-Domain Person
Re-Identification,
ICCV19(232-242)
IEEE DOI
2004
image matching, image recognition, neural nets, object recognition,
rendering (computer graphics), supervised learning,
Data models
BibRef
Xiao, T.,
Li, H.S.[Hong-Sheng],
Ouyang, W.L.[Wan-Li],
Wang, X.G.[Xiao-Gang],
Learning Deep Feature Representations with Domain Guided Dropout for
Person Re-identification,
CVPR16(1249-1258)
IEEE DOI
1612
BibRef
Shen, Y.T.[Yan-Tao],
Li, H.S.[Hong-Sheng],
Yi, S.[Shuai],
Chen, D.P.[Da-Peng],
Wang, X.G.[Xiao-Gang],
Person Re-identification with Deep Similarity-Guided Graph Neural
Network,
ECCV18(XV: 508-526).
Springer DOI
1810
BibRef
Li, W.[Wei],
Zhao, R.[Rui],
Xiao, T.[Tong],
Wang, X.G.[Xiao-Gang],
DeepReID: Deep Filter Pairing Neural Network for Person
Re-identification,
CVPR14(152-159)
IEEE DOI
1409
Person Re-Identification
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking People with Stereo, or Depth .