Ma, A.J.H.[Andy Jin-Hua],
Li, J.W.[Jia-Wei],
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Li, P.[Ping],
Cross-Domain Person Reidentification Using Domain Adaptation Ranking
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
Ma, A.J.H.[Andy Jin-Hua],
Li, P.[Ping],
Semi-Supervised Ranking for Re-identification with Few Labeled Image
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ACCV14(IV: 598-613).
Springer DOI
1504
BibRef
And:
Query Based Adaptive Re-ranking for Person Re-identification,
ACCV14(V: 397-412).
Springer DOI
1504
BibRef
Wang, X.,
Zheng, W.S.[Wei-Shi],
Li, X.,
Zhang, J.,
Cross-Scenario Transfer Person Reidentification,
CirSysVideo(26), No. 8, August 2016, pp. 1447-1460.
IEEE DOI
1609
cameras
BibRef
Ye, M.[Mang],
Li, J.W.[Jia-Wei],
Ma, A.J.[Andy J.],
Zheng, L.[Liang],
Yuen, P.C.[Pong C.],
Dynamic Graph Co-Matching for Unsupervised Video-Based Person
Re-Identification,
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],
Zheng, L.[Liang],
Zheng, Z.D.[Zhe-Dong],
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
Song, L.C.[Liang-Chen],
Wang, C.[Cheng],
Zhang, L.[Lefei],
Du, B.[Bo],
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Huang, C.[Chang],
Wang, X.G.[Xing-Gang],
Unsupervised domain adaptive re-identification: Theory and practice,
PR(102), 2020, pp. 107173.
Elsevier DOI
2003
Person re-identification, Unsupervised domain adaptation
BibRef
Jiang, K.,
Zhang, T.,
Zhang, Y.,
Wu, F.,
Rui, Y.,
Self-Supervised Agent Learning for Unsupervised Cross-Domain Person
Re-Identification,
IP(29), 2020, pp. 8549-8560.
IEEE DOI
2008
Self-supervised learning,
unsupervised cross-domain person re-identification, hard negative mining
BibRef
Zhang, P.,
Xu, J.,
Wu, Q.,
Huang, Y.,
Zhang, J.,
Top-Push Constrained Modality-Adaptive Dictionary Learning for
Cross-Modality Person Re-Identification,
CirSysVideo(30), No. 12, December 2020, pp. 4554-4566.
IEEE DOI
2012
Cameras, Machine learning, Dictionaries, Sensors, Image sensors,
Measurement, Training, Cross-modality person re-identification,
domain adaptation
BibRef
Qian, X.L.[Xue-Lin],
Fu, Y.W.[Yan-Wei],
Xiang, T.[Tao],
Jiang, Y.G.[Yu-Gang],
Xue, X.Y.[Xiang-Yang],
Leader-Based Multi-Scale Attention Deep Architecture for Person
Re-Identification,
PAMI(42), No. 2, February 2020, pp. 371-385.
IEEE DOI
2001
BibRef
Earlier: A1, A2, A4, A3, A5:
Multi-scale Deep Learning Architectures for Person Re-identification,
ICCV17(5409-5418)
IEEE DOI
1802
Feature extraction, Cameras, Task analysis,
Computational modeling, Adaptation models, Clothing,
domain generalization.
image matching, image representation,
learning (artificial intelligence), object recognition,
Visualization
BibRef
Zheng, W.S.[Wei-Shi],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Reidentification by Relative Distance Comparison,
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.
0909
BibRef
Zheng, W.S.[Wei-Shi],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Towards Open-World Person Re-Identification by One-Shot Group-Based
Verification,
PAMI(38), No. 3, March 2016, pp. 591-606.
IEEE DOI
1602
Cameras
BibRef
Wang, H.X.[Han-Xiao],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Highly Efficient Regression for Scalable Person Re-Identification,
BMVC16(xx-yy).
HTML Version.
1805
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
BibRef
Li, X.,
Zheng, W.S.[Wei-Shi],
Wang, X.,
Xiang, T.[Tao],
Gong, S.G.[Shao-Gang],
Multi-Scale Learning for Low-Resolution Person Re-Identification,
ICCV15(3765-3773)
IEEE DOI
1602
Adaptation models
BibRef
Zhao, Y.B.[Yun-Bo],
Lin, J.W.[Jian-Wu],
Xuan, Q.[Qi],
Xi, X.G.[Xu-Gang],
HPILN: a feature learning framework for cross-modality person
re-identification,
IET-IPR(13), No. 14, 12 December 2019, pp. 2897-2904.
DOI Link
1912
BibRef
Tang, Y.,
Xi, Y.,
Wang, N.,
Song, B.,
Gao, X.,
CGAN-TM: A Novel Domain-to-Domain Transferring Method for Person
Re-Identification,
IP(29), 2020, pp. 5641-5651.
IEEE DOI
2005
Task analysis, Training, Cameras, Object tracking, Image recognition,
Target recognition, Surveillance, Person re-identification,
maximum mean discrepancy
BibRef
Ye, M.[Mang],
Lan, X.Y.[Xiang-Yuan],
Leng, Q.M.[Qing-Ming],
Shen, J.B.[Jian-Bing],
Cross-Modality Person Re-Identification via Modality-Aware
Collaborative Ensemble Learning,
IP(29), 2020, pp. 9387-9399.
IEEE DOI
1806
Cameras, Task analysis, Collaboration, Learning systems,
Visualization, Face recognition, Collaborative work,
collaborative ensemble learning
BibRef
Hao, X.[Xin],
Zhao, S.Y.[San-Yuan],
Ye, M.[Mang],
Shen, J.B.[Jian-Bing],
Cross-Modality Person Re-Identification via Modality Confusion and
Center Aggregation,
ICCV21(16383-16392)
IEEE DOI
2203
Learning systems, Feature extraction, Cameras, Task analysis,
Optimization, Scene analysis and understanding, Recognition and classification
BibRef
Xie, Z.W.[Zhong-Wei],
Li, L.[Lin],
Zhong, X.[Xian],
Zhong, L.[Luo],
Xiang, J.W.[Jian-Wen],
Image-to-video person re-identification with cross-modal embeddings,
PRL(133), 2020, pp. 70-76.
Elsevier DOI
2005
Person re-identification, Model transfer, Verification-identification
BibRef
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.,
Li, Y.,
Chen, H.,
Peng, Y.,
Zhu, J.,
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.[Huanhuan],
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
Ma, T.H.[Ting-Huai],
Yang, M.M.[Ming-Ming],
Rong, H.[Huan],
Qian, Y.R.[Yu-Rong],
Tian, Y.[Yuan],
Al-Nabhan, N.[Najla],
Dual-path CNN with Max Gated block for text-based person
re-identification,
IVC(111), 2021, pp. 104168.
Elsevier DOI
2106
Cross-modal matching, Person re-identification, Dual-path CNN, Word embedding
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
Huang, Y.[Yan],
Wu, Q.[Qiang],
Xu, J.S.[Jing-Song],
Zhong, Y.[Yi],
Zhang, P.[Peng],
Zhang, Z.X.[Zhao-Xiang],
Alleviating Modality Bias Training for Infrared-Visible Person
Re-Identification,
MultMed(24), 2022, pp. 1570-1582.
IEEE DOI
2204
Training, Cameras, Task analysis, Network architecture, Lighting,
Data models, Cross modality, modality bias training, person re-identification
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.[Yaqing],
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.[Liuxiang],
Tian, Z.[Zimin],
Yan, Y.[Yan],
Wang, D.H.[Da-Han],
Zhu, S.[Shunzhi],
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
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
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
Delussu, R.[Rita],
Putzu, L.[Lorenzo],
Fumera, G.[Giorgio],
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
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
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, Pattern recognition,
Self- semi- meta- Vision applications and systems
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
Jiang, N.[Na],
Wang, Z.F.[Zhao-Fa],
Xu, P.[Peng],
Wu, X.Y.[Xin-Yue],
Zhang, L.[Lei],
Rethinking Shared Features and Re-ranking for Cross-Modality Person
Re-identification,
MMMod22(II:305-317).
Springer DOI
2203
BibRef
Dai, Y.X.[Yong-Xing],
Liu, J.[Jun],
Sun, Y.F.[Yi-Fan],
Tong, Z.[Zekun],
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
Wu, Q.[Qiong],
Dai, P.Y.[Ping-Yang],
Chen, J.[Jie],
Lin, C.W.[Chia-Wen],
Wu, Y.J.[Yong-Jian],
Huang, F.Y.[Fei-Yue],
Zhong, B.N.[Bi-Neng],
Ji, R.R.[Rong-Rong],
Discover Cross-Modality Nuances for Visible-Infrared Person
Re-Identification,
CVPR21(4328-4337)
IEEE DOI
2111
Glass, Footwear, Feature extraction, Data mining, Task analysis
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
Tian, X.D.[Xu-Dong],
Zhang, Z.Z.[Zhi-Zhong],
Lin, S.H.[Shao-Hui],
Qu, Y.Y.[Yan-Yun],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
Farewell to Mutual Information: Variational Distillation for
Cross-Modal Person Re-Identification,
CVPR21(1522-1531)
IEEE DOI
2111
Training, Correlation, Fitting, Redundancy, Estimation,
Robustness, Pattern recognition
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,
Pattern recognition, Task analysis
BibRef
Lu, Y.,
Wu, Y.,
Liu, B.,
Zhang, T.,
Li, B.,
Chu, Q.,
Yu, N.,
Cross-Modality Person Re-Identification With Shared-Specific Feature
Transfer,
CVPR20(13376-13386)
IEEE DOI
2008
Feature extraction, Learning systems, Cameras,
Image color analysis, Measurement, Streaming media
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, Pattern recognition, 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
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
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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
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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
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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
Tekeli, N.,
Can, A.B.,
Distance Based Training for Cross-Modality Person Re-Identification,
CroMoL19(4540-4549)
IEEE DOI
2004
convolutional neural nets, feature extraction,
learning (artificial intelligence), distance based training, IR,
thermal
BibRef
Yu, X.J.[Xiao-Jing],
Chen, T.L.[Tian-Long],
Yang, Y.[Yang],
Mugo, M.[Michael],
Wang, Z.Y.[Zhang-Yang],
Cross-Modal Person Search: A Coarse-to-Fine Framework using
Bi-Directional Text-Image Matching,
WIDER19(1799-1804)
IEEE DOI
2004
image matching, image retrieval, natural language processing,
text analysis, cross-modal person search, person images, Person Search
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
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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],
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Joint Disentangling and Adaptation for Cross-domain Person
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ECCV20(II:87-104).
Springer DOI
2011
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Chen, G.Y.[Guang-Yi],
Lu, Y.[Yuhao],
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 -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People with Stereo, or Depth .