16.7.4.4.4 Tracking People, Re-Identification Issues, Learning

Chapter Contents (Back)
Motion, Human. Tracking. Learning. Re-Identification. See also Metric Learning, Re-Identification Issues. See also Adversarial Learning, GAN, Re-Identification Issues.

Nappi, M.[Michele], Wechsler, H.[Harry],
Robust re-identification using randomness and statistical learning: Quo vadis,
PRL(33), No. 14, 15 October 2012, pp. 1820-1827.
Elsevier DOI 1209
Biometrics; Evidence-based management; Face recognition; Identity management; Re-identification; Statistical learning theory BibRef

Serra, G.[Giuseppe], Grana, C.[Costantino], Manfredi, M.[Marco], Cucchiara, R.[Rita],
GOLD: Gaussians of Local Descriptors for image representation,
CVIU(134), No. 1, 2015, pp. 22-32.
Elsevier DOI 1504
Image classification BibRef

Manfredi, M.[Marco], Grana, C.[Costantino], Cucchiara, R.[Rita], Smeulders, A.W.M.[Arnold W.M.],
Segmentation models diversity for object proposals,
CVIU(158), No. 1, 2017, pp. 40-48.
Elsevier DOI 1704
BibRef
Earlier: A1, A2, A3, Only:
Learning superpixel relations for supervised image segmentation,
ICIP14(4437-4441)
IEEE DOI 1502
BibRef
Earlier: A1, A2, A3, Only:
Learning Graph Cut Energy Functions for Image Segmentation,
ICPR14(960-965)
IEEE DOI 1412
BibRef
And: A1, A2, A3, Only:
Automatic Single-Image People Segmentation and Removal for Cultural Heritage Imaging,
MM4CH13(188-197).
Springer DOI 1309
Segmentation. Accuracy. Feature extraction See also complete system for garment segmentation and color classification, A. BibRef

Coppi, D.[Dalia], Calderara, S.[Simone], Cucchiara, R.[Rita],
Active query process for digital video surveillance forensic applications,
SIViP(9), No. 4, May 2015, pp. 749-759.
WWW Link. 1504
BibRef

Coppi, D.[Dalia], Calderara, S.[Simone], Cucchiara, R.[Rita],
Transductive People Tracking in Unconstrained Surveillance,
CirSysVideo(26), No. 4, April 2016, pp. 762-775.
IEEE DOI 1604
BibRef
Earlier:
Appearance tracking by transduction in surveillance scenarios,
AVSBS11(142-147).
IEEE DOI 1111
BibRef
And:
People appearance tracing in video by spectral graph transduction,
ARTEMIS11(920-927).
IEEE DOI 1201
covariance matrices. BibRef

Ding, S.Y.[Sheng-Yong], Lin, L.[Liang], Wang, G.R.[Guang-Run], Chao, H.Y.[Hong-Yang],
Deep feature learning with relative distance comparison for person re-identification,
PR(48), No. 10, 2015, pp. 2993-3003.
Elsevier DOI 1507
Person re-identification BibRef

Zhang, D.Y.[Dong-Yu], Liu, P.J.[Peng-Ju], Zhang, K.[Kai], Zhang, H.Z.[Hong-Zhi], Wang, Q.[Qing], Jing, X.Y.[Xiao-Yuan],
Class Relatedness Oriented-Discriminative Dictionary Learning for Multiclass Image Classification,
PR(59), No. 1, 2016, pp. 168-175.
Elsevier DOI 1609
Dictionary learning See also Learning Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion. BibRef

Jing, X.Y.[Xiao-Yuan], Zhu, X.[Xiaoke], Wu, F.[Fei], Hu, R.M.[Rui-Min], You, X.[Xinge], Wang, Y., Feng, H., Yang, J.Y.,
Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning,
IP(26), No. 3, March 2017, pp. 1363-1378.
IEEE DOI 1703
Cameras See also Learning Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion. BibRef

Jing, X.Y.[Xiao-Yuan], Zhu, X.[Xiaoke], Wu, F.[Fei], You, X.[Xinge], Liu, Q.L.[Qing-Long], Yue, D.[Dong], Hu, R.M.[Rui-Min], Xu, B.[Baowen],
Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning,
CVPR15(695-704)
IEEE DOI 1510
BibRef

Wang, J.[Jin], Sang, N.[Nong], Wang, Z.[Zheng], Gao, C.X.[Chang-Xin],
Similarity Learning with Top-heavy Ranking Loss for Person Re-identification,
SPLetters(23), No. 1, January 2016, pp. 84-88.
IEEE DOI 1601
image matching BibRef

Wang, J.[Jin], Wang, Z.[Zheng], Gao, C.X.[Chang-Xin], Sang, N.[Nong], Huang, R.,
DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification,
CirSysVideo(27), No. 3, March 2017, pp. 513-524.
IEEE DOI 1703
Computer architecture BibRef

Chen, S.Z., Guo, C.C., Lai, J.H.,
Deep Ranking for Person Re-Identification via Joint Representation Learning,
IP(25), No. 5, May 2016, pp. 2353-2367.
IEEE DOI 1604
Algorithm design and analysis BibRef

Franco, A.[Alexandre], Oliveira, L.[Luciano],
Convolutional covariance features: Conception, integration and performance in person re-identification,
PR(61), No. 1, 2017, pp. 593-609.
Elsevier DOI 1705
BibRef
Earlier:
A coarse-to-fine deep learning for person re-identification,
WACV16(1-7)
IEEE DOI 1606
Person re-identification. Face BibRef

McLaughlin, N., del Rincon, J.M.[J. Martinez], Miller, P.C.,
Person Reidentification Using Deep Convnets With Multitask Learning,
CirSysVideo(27), No. 3, March 2017, pp. 525-539.
IEEE DOI 1703
BibRef
Earlier:
Data-augmentation for reducing dataset bias in person re-identification,
AVSS15(1-6)
IEEE DOI 1511
image processing BibRef

Su, C.[Chi], Yang, F.[Fan], Zhang, S.L.[Shi-Liang], Tian, Q.[Qi], Davis, L.S.[Larry S.], Gao, W.[Wen],
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification,
PAMI(40), No. 5, May 2018, pp. 1167-1181.
IEEE DOI 1804
BibRef
Earlier:
Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification,
ICCV15(3739-3747)
IEEE DOI 1602
Cameras, Correlation, Linear programming, Measurement, Optimization, Robustness, Visualization, Multi-task learning, attribute, low rank, person re-identification BibRef

Zhang, Z.Z.[Zhi-Zhong], Xie, Y.[Yuan], Zhang, W.S.[Wen-Sheng], Tang, Y.Q.[Yong-Qiang], Tian, Q.[Qi],
Tensor Multi-Task Learning for Person Re-Identification,
IP(29), 2020, pp. 2463-2477.
IEEE DOI 2001
Cameras, Task analysis, Measurement, Visualization, Training, Computational modeling, Person re-identification, tensor optimization BibRef

Yang, F.[Fan], Yan, K.[Ke], Lu, S.J.[Shi-Jian], Jia, H.Z.[Hui-Zhu], Xie, X.D.[Xiao-Dong], Gao, W.[Wen],
Attention driven person re-identification,
PR(86), 2019, pp. 143-155.
Elsevier DOI 1811
Person re-identification, Visual attention, Pose estimation, Deep neural networks BibRef

Lin, W.Y.[Wei-Yao], Shen, Y.[Yang], Yan, J.C.[Jun-Chi], Xu, M.L.[Ming-Liang], Wu, J.X.[Jian-Xin], Wang, J.D.[Jing-Dong], Lu, K.[Ke],
Learning Correspondence Structures for Person Re-Identification,
IP(26), No. 5, May 2017, pp. 2438-2453.
IEEE DOI 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], Shen, L.Y.[Li-Yue], Tian, L.[Lu], Wang, S.J.[Sheng-Jin], Wang, J.D.[Jing-Dong], Tian, Q.[Qi],
Scalable Person Re-identification: A Benchmark,
ICCV15(1116-1124)
IEEE DOI 1602
Benchmark testing BibRef

Zhao, R.[Rui], Ouyang, W.L.[Wan-Li], Wang, X.G.[Xiao-Gang],
Person Re-Identification by Saliency Learning,
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 BibRef

Chen, D.P.[Da-Peng], Yuan, Z.J.[Ze-Jian], Wang, J.D.[Jing-Dong], Chen, B.D.[Ba-Dong], Hua, G.[Gang], Zheng, N.N.[Nan-Ning],
Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification,
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 Re-identification,
CVPR16(1268-1277)
IEEE DOI 1612
BibRef
Earlier: A1, A2, A5, A6, A3, Only:
Similarity learning on an explicit polynomial kernel feature map for person re-identification,
CVPR15(1565-1573)
IEEE DOI 1510
BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Meng, D.Y.[De-Yu], Xin, X.M.[Xiao-Meng], Li, Y.B.[Yu-Bing], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning],
Deep self-paced learning for person re-identification,
PR(76), No. 1, 2018, pp. 739-751.
Elsevier DOI 1801
Person re-identification BibRef

Ren, L.L.[Liang-Liang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Multi-modal uniform deep learning for RGB-D person re-identification,
PR(72), No. 1, 2017, pp. 446-457.
Elsevier DOI 1708
Person re-identification BibRef

Lin, J., Ren, L., Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,
CVPR17(3396-3405)
IEEE DOI 1711
Cameras, Image color analysis, Indexes, Lighting, Machine learning, Measurement, Optimal, matching BibRef

Chen, G., Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification,
ICIP17(111-115)
IEEE DOI 1803
Cameras, Correlation, Kernel, Manifolds, Measurement, Optimization, Videos, Person re-identification, canonical correlation analysis, multiple kernel learning. BibRef

Dong, H.S.[Hu-Sheng], Gong, S.R.[Sheng-Rong], Liu, C.P.[Chun-Ping], Ji, Y.[Yi], Zhong, S.[Shan],
Large margin relative distance learning for person re-identification,
IET-CV(11), No. 6, September 2017, pp. 455-462.
DOI Link 1709
BibRef

Cheng, D.[De], Gong, Y.H.[Yi-Hong], Chang, X.J.[Xiao-Jun], Shi, W.W.[Wei-Wei], Hauptmann, A.G.[Alexander G.], Zheng, N.N.[Nan-Ning],
Deep feature learning via structured graph Laplacian embedding for person re-identification,
PR(82), 2018, pp. 94-104.
Elsevier DOI 1806
Person re-identification, Structured, Graph Laplacian, Deep learning BibRef

Ma, A.J.H.[Andy Jin-Hua], Li, J.W.[Jia-Wei], Yuen, P.C.[Pong C.], 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 Pairs,
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

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

An, L., Qin, Z., Chen, X., Yang, S.,
Multi-Level Common Space Learning for Person Re-Identification,
CirSysVideo(28), No. 8, August 2018, pp. 1777-1787.
IEEE DOI 1808
Cameras, Measurement, Feature extraction, Image color analysis, Probes, Lighting, Surveillance, Person re-identification, group sparse representation BibRef

Hu, L.[Liang], Hong, C.Q.[Chao-Qun], Zeng, Z.Q.A.[Zhi-Qi-Ang], Wang, X.D.[Xiao-Dong],
Two-stream person re-identification with multi-task deep neural networks,
RealTimeIP(14), No. 1, January 2018, pp. 947-954.
WWW Link. 1809
BibRef

Karanam, S., Wu, Z., Radke, R.J.,
Learning Affine Hull Representations for Multi-Shot Person Re-Identification,
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 BibRef

Zhu, X., Jing, X., Yang, L., You, X., Chen, D., Gao, G., Wang, Y.,
Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2599-2611.
IEEE DOI 1811
Videos, Cameras, Dictionaries, Feature extraction, Training, Computer aided instruction, Labeling, cross-view learning BibRef

Tao, D., Guo, Y., Yu, B., Pang, J., Yu, Z.,
Deep Multi-View Feature Learning for Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2657-2666.
IEEE DOI 1811
Feature extraction, Measurement, Image color analysis, Machine learning, Robustness, Collaboration, Electronic mail, intelligent video analysis BibRef

Zhang, W.[Wei], Yu, X.D.[Xiao-Dong], He, X.Y.[Xuan-Yu],
Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification,
CirSysVideo(28), No. 10, October 2018, pp. 2768-2776.
IEEE DOI 1811
Feature extraction, Measurement, Optical filters, Cameras, Video sequences, Recurrent neural networks, surveillance BibRef

Zhang, W.[Wei], Hu, S.N.[Sheng-Nan], Liu, K.[Kan], Zha, Z.J.[Zheng-Jun],
Learning Compact Appearance Representation for Video-Based Person Re-Identification,
CirSysVideo(29), No. 8, August 2019, pp. 2442-2452.
IEEE DOI 1908
Legged locomotion, Feature extraction, Task analysis, Cameras, Video sequences, Training, Data mining, CNN BibRef

Chen, Y.Q.[Yi-Qiang], Duffner, S.[Stefan], Stoian, A.[Andrei], Dufour, J.Y.[Jean-Yves], Baskurt, A.[Atilla],
Deep and low-level feature based attribute learning for person re-identification,
IVC(79), 2018, pp. 25-34.
Elsevier DOI 1811
Person re-identification, Soft-biometrics, Pedestrian attributes, Convolutional neural network BibRef

Wang, H.X.[Han-Xiao], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Person Re-identification in Identity Regression Space,
IJCV(126), No. 12, December 2018, pp. 1288-1310.
Springer DOI 1811
BibRef

Li, M.X.[Min-Xian], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang],
Unsupervised Person Re-identification by Deep Learning Tracklet Association,
ECCV18(II: 772-788).
Springer DOI 1810
BibRef

Wang, S.[Shengke], Zhang, X.Y.[Xiao-Yan], Chen, L.[Long], Zhou, H.Y.[Hui-Yu], Dong, J.Y.[Jun-Yu],
Asymmetric filtering-based dense convolutional neural network for person re-identification combined with Joint Bayesian and re-ranking,
JVCIR(57), 2018, pp. 262-271.
Elsevier DOI 1812
Person re-identification, Joint Bayesian, Deep convolutional neural networks, Multimodal features BibRef

Wang, S.[Shengke], Duan, L.H.[Liang-Hua], Yang, N.[Na], Dong, J.Y.[Jun-Yu],
Person re-identification with deep dense feature representation and Joint Bayesian,
ICIP17(3560-3564)
IEEE DOI 1803
Bayes methods, Cameras, Convolution, Feature extraction, Machine learning, Measurement, Training, verification 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 Re-Identification,
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 Re-Identification,
SPLetters(27), 2020, pp. 391-395.
IEEE DOI 2004
Person re-identification, generated data, sparse pseudo label BibRef

Xian, Y.Q.[Yu-Qiao], Hu, H.F.[Hai-Feng],
Enhanced multi-dataset transfer learning method for unsupervised person re-identification using co-training strategy,
IET-CV(12), No. 8, December 2018, pp. 1219-1227.
DOI Link 1812
BibRef

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

Liu, Y.G.[Yong-Ge], Song, N.[Nan], Han, Y.H.[Ya-Hong],
Multi-cue fusion: Discriminative enhancing for person re-identification,
JVCIR(58), 2019, pp. 46-52.
Elsevier DOI 1901
Deep learning, Fusion strategy, Re-identification BibRef

Ouyang, D.Q.A.[De-Qi-Ang], Zhang, Y.H.[Yong-Hui], Shao, J.[Jie],
Video-based person re-identification via spatio-temporal attentional and two-stream fusion convolutional networks,
PRL(117), 2019, pp. 153-160.
Elsevier DOI 1901
Video-based person re-identification, Two-stream fusion, Spatio-temporal attention network, Heterogenous feature fusion BibRef

Zhao, C.R.[Cai-Rong], Chen, K.[Kang], Wei, Z.H.[Zhi-Hua], Chen, Y.P.[Yi-Peng], Miao, D.Q.[Duo-Qian], Wang, W.[Wei],
Multilevel triplet deep learning model for person re-identification,
PRL(117), 2019, pp. 161-168.
Elsevier DOI 1901
Multilevel feature extraction, Triplet architecture, Person re-identification BibRef

Fan, X.[Xing], Jiang, W.[Wei], Luo, H.[Hao], Fei, M.[Mengjuan],
SphereReID: Deep hypersphere manifold embedding for person re-identification,
JVCIR(60), 2019, pp. 51-58.
Elsevier DOI 1903
Person re-identification, Classification, Feature embedding, CNN, Hypersphere BibRef

Yao, H.T.[Han-Tao], Zhang, S.L.[Shi-Liang], Hong, R.C.[Ri-Chang], Zhang, Y.D.[Yong-Dong], Xu, C.S.[Chang-Sheng], Tian, Q.[Qi],
Deep Representation Learning With Part Loss for Person Re-Identification,
IP(28), No. 6, June 2019, pp. 2860-2871.
IEEE DOI 1905
image classification, image representation, learning (artificial intelligence), neural nets, convolutional neural networks BibRef

Wu, Y.[Yu], Lin, Y.T.[Yu-Tian], Dong, X.Y.[Xuan-Yi], Yan, Y.[Yan], Bian, W.[Wei], Yang, Y.[Yi],
Progressive Learning for Person Re-Identification With One Example,
IP(28), No. 6, June 2019, pp. 2872-2881.
IEEE DOI 1905
convolutional neural nets, image sampling, learning (artificial intelligence), index-labeled data, few-example learning BibRef

Wu, L., Wang, Y., Gao, J., Li, X.,
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification,
MultMed(21), No. 6, June 2019, pp. 1412-1424.
IEEE DOI 1906
Feature extraction, Measurement, Visualization, Spatiotemporal phenomena, Convolution, Computer architecture, visual attention BibRef

Xu, X.Y.[Xiao-Yue], Chen, Y.[Ying],
Video-based person re-identification based on regularised hull distance learning,
IET-CV(13), No. 4, June 2019, pp. 385-394.
DOI Link 1906
BibRef

Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.],
Gait-based Person Re-identification: A Survey,
Surveys(51), No. 1, February 2019, pp. Article No 33.
DOI Link 1906
Survey, Gait. BibRef

Luo, H.[Hao], Jiang, W.[Wei], Zhang, X.[Xuan], Fan, X.[Xing], Qian, J.J.[Jing-Jing], Zhang, C.[Chi],
AlignedReID++: Dynamically matching local information for person re-identification,
PR(94), 2019, pp. 53-61.
Elsevier DOI 1906
Person re-identification, CNNs, Dynamically alignment BibRef

Meng, J.[Jingke], Wu, A.[Ancong], Zheng, W.S.[Wei-Shi],
Deep asymmetric video-based person re-identification,
PR(93), 2019, pp. 430-441.
Elsevier DOI 1906
Person re-identification, Visual surveillance BibRef

Li, W.H.[Wei-Hong], Zhong, Z.[Zhuowei], Zheng, W.S.[Wei-Shi],
One-pass person re-identification by sketch online discriminant analysis,
PR(93), 2019, pp. 237-250.
Elsevier DOI 1906
Online learning, Person re-identification, Discriminant feature extraction BibRef

Li, D.G.[Dian-Gang], Gong, Y.H.[Yi-Hong], Cheng, D.[De], Shi, W.W.[Wei-Wei], Tao, X.Y.[Xiao-Yu], Chang, X.Y.[Xin-Yuan],
Consistency-Preserving deep hashing for fast person re-identification,
PR(94), 2019, pp. 207-217.
Elsevier DOI 1906
Convolutional neural network, Fast person re-identification, Deep hashing, Consistency preservation BibRef

Zheng, L., Huang, Y., Lu, H., Yang, Y.,
Pose-Invariant Embedding for Deep Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4500-4509.
IEEE DOI 1908
affine transforms, convolutional neural nets, face recognition, feature extraction, image matching, image representation, person re-identification BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Meng, D.[Deyu], Liang, Y.D.[Yu-Dong], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning],
Discriminative Feature Learning With Foreground Attention for Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4671-4684.
IEEE DOI 1908
convolutional neural nets, image representation, object detection, regression analysis, supervised learning, foreground attentive feature learning 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 via multi-loss training,
JVCIR(62), 2019, pp. 267-278.
Elsevier DOI 1908
Person re-identification, Multi-loss training, Inter-center loss BibRef

Zhang, W., Li, Y., Lu, W., Xu, X., Liu, Z., Ji, X.,
Learning Intra-Video Difference for Person Re-Identification,
CirSysVideo(29), No. 10, October 2019, pp. 3028-3036.
IEEE DOI 1910
feature extraction, image matching, image sequences, iterative methods, learning (artificial intelligence), CNN BibRef

Yang, H.[Hua], Cheng, Z.[Zhaoxi], Chen, L.[Lin],
Reranking optimization for person re-identification under temporal-spatial information and common network consistency constraints,
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 re-identification via significance-aware attention,
SP:IC(84), 2020, pp. 115835.
Elsevier DOI 2004
Person re-identification, Attention, Residual learning, Feature fusion BibRef

Yan, Y.[Yichao], 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

Bai, X.[Xiang], Yang, M.K.[Ming-Kun], Huang, T.T.[Teng-Teng], Dou, Z.Y.[Zhi-Yong], Yu, R.[Rui], Xu, Y.C.[Yong-Chao],
Deep-Person: Learning discriminative deep features for person Re-Identification,
PR(98), 2020, pp. 107036.
Elsevier DOI 1911
Person Re-ID, LSTM, Triplet loss, End-to-end 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

Quispe, R.[Rodolfo], Pedrini, H.[Helio],
Improved person re-identification based on saliency and semantic parsing with deep neural network models,
IVC(92), 2019, pp. 103809.
Elsevier DOI 1912
Person re-identification, Deep learning, Multi-clue guided learning, Human semantic parsing, Convolutional neural networks BibRef

Wang, Z., Jiang, J., Wu, Y., Ye, M., Bai, X., Satoh, S.,
Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification,
IP(29), 2020, pp. 2013-2025.
IEEE DOI 2001
Semantics, Deep learning, Visualization, Feature extraction, Image reconstruction, Clothing, Training, Person re-identification, discrimination BibRef

Song, W., Li, S., Chang, T., Hao, A., Zhao, Q., Qin, H.,
Context-Interactive CNN for Person Re-Identification,
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IEEE DOI 2001
Task analysis, Reinforcement learning, Feature extraction, Videos, Cameras, Context modeling, Clutter, Person re-identification, context-critic network 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 person re-identification,
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Song, L.C.[Liang-Chen], Wang, C.[Cheng], Zhang, L.[Lefei], Du, B.[Bo], Zhang, Q.[Qian], Huang, C.[Chang], Wang, X.G.[Xing-Gang],
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PR(102), 2020, pp. 107173.
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Person re-identification, Unsupervised domain adaptation 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,
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Springer DOI 1810
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Li, J.N.[Jia-Ning], Zhang, S.L.[Shi-Liang], Huang, T.J.[Tie-Jun],
Multi-Scale Temporal Cues Learning for Video Person Re-Identification,
IP(29), 2020, pp. 4461-4473.
IEEE DOI 2003
Video Person ReID, Convolutional Neural Networks, Spatial Temporal Feature Learning 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 Exploration,
IP(29), 2020, pp. 5481-5490.
IEEE DOI 2005
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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

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

Serbetci, A.[Ayse], Akgul, Y.S.[Yusuf Sinan],
End-to-end training of CNN ensembles for person re-identification,
PR(104), 2020, pp. 107319.
Elsevier DOI 2005
Deep networks, Ensemble learning, Person re-identification 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

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.[Kaiwei], Guo, Y.[Yang], Wang, Y.[Yaohua],
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.
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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
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Li, H.F.[Hua-Feng], Xu, J.J.[Jia-Jia], Yu, Z.T.[Zheng-Tao], Luo, J.B.[Jie-Bo],
Jointly Learning Commonality and Specificity Dictionaries for Person Re-Identification,
IP(29), 2020, pp. 7345-7358.
IEEE DOI 2007
Dictionaries, Feature extraction, Cameras, Image coding, Deep learning, Visualization, Person re-identification, specificity dictionary 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

Hao, Y.[Yi], Li, J.[Jie], Wang, N.N.[Nan-Nan], Gao, X.[Xinbo],
Modality adversarial neural network for visible-thermal person re-identification,
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Elsevier DOI 2008
Cross-modality, Adversarial learning, Person re-identification 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.
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Training, Cameras, Data mining, Training data, Feature extraction, Annotations, Person re-identification, collaborative filtering 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

Jia, J.[Jieru], Ruan, Q.Q.[Qiu-Qi], Jin, Y.[Yi], An, G.[Gaoyun], Ge, S.M.[Shi-Ming],
View-specific subspace learning and re-ranking for semi-supervised person re-identification,
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Elsevier DOI 2008
Person re-identification, Metric learning, Semi-supervised learning, Re-ranking BibRef

Chang, X.Y.[Xin-Yuan], Ma, Z.H.[Zhi-Heng], Wei, X.[Xing], Hong, X.P.[Xiao-Peng], Gong, Y.H.[Yi-Hong],
Transductive semi-supervised metric learning for person re-identification,
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Elsevier DOI 2008
Person re-identification, Transductive learning, Semi-supervised learning, Graph, Confidence score BibRef

Zhang, Y., Jin, Y., Chen, J., Kan, S., Cen, Y., Cao, Q.,
PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification,
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IEEE DOI 2009
Feature extraction, Decoding, Couplings, Learning systems, Task analysis, Training data BibRef


Huang, Y., Zha, Z., Fu, X., Hong, R., Li, L.,
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

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

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

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
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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, Computer architecture, Benchmark testing 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

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

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

Subramaniam, A., Nambiar, A., Mittal, A.,
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification,
ICCV19(562-572)
IEEE DOI 2004
feature extraction, image segmentation, object detection, video signal processing, video surveillance, video-based person, Convolution 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

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

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, computer vision, 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

Zhou, S., Wang, F., Huang, Z., Wang, J.,
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification,
ICCV19(8039-8048)
IEEE DOI 2004
feature extraction, learning (artificial intelligence), neural nets, consistent attention regularizer, Computer vision 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

Liu, F., Zhang, L.,
View Confusion Feature Learning for Person Re-Identification,
ICCV19(6638-6647)
IEEE DOI 2004
feature extraction, image recognition, image representation, learning (artificial intelligence), video surveillance, Measurement 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

Liu, Z., Wang, J., Gong, S., Tao, D., Lu, H.,
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification,
ICCV19(6121-6130)
IEEE DOI 2004
convolutional neural nets, image annotation, learning (artificial intelligence), Computational modeling BibRef

Quan, R., Dong, X., Wu, Y., Zhu, L., Yang, Y.,
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification,
ICCV19(3749-3758)
IEEE DOI 2004
convolutional neural nets, image classification, part-aware ConvNet, person re-identification, Search problems 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

Dai, Z., Chen, M., Gu, X., Zhu, S., Tan, P.,
Batch DropBlock Network for Person Re-Identification and Beyond,
ICCV19(3690-3700)
IEEE DOI 2004
convolutional neural nets, feature extraction, learning (artificial intelligence), Cameras BibRef

Zhou, K., Yang, Y., Cavallaro, A., Xiang, T.,
Omni-Scale Feature Learning for Person Re-Identification,
ICCV19(3701-3711)
IEEE DOI 2004
Code, Re-Identification.
WWW Link. convolutional neural nets, feature extraction, graph theory, image representation, learning (artificial intelligence), Convolution 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

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

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
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Liu, J.W.[Jia-Wei], Zha, Z.J.[Zheng-Jun], Chen, D.[Di], Hong, R.[Richang], Wang, M.[Meng],
Adaptive Transfer Network for Cross-Domain Person Re-Identification,
CVPR19(7195-7204).
IEEE DOI 2002
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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
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Meng, J.[Jingke], Wu, S.[Sheng], Zheng, W.S.[Wei-Shi],
Weakly Supervised Person Re-Identification,
CVPR19(760-769).
IEEE DOI 2002
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Yang, W.J.[Wen-Jie], Huang, H.J.[Hou-Jing], Zhang, Z.[Zhang], Chen, X.[Xiaotang], Huang, K.Q.[Kai-Qi], Zhang, S.[Shu],
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CVPR19(1389-1398).
IEEE DOI 2002
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Zheng, Z.[Zhedong], 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
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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
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Yang, Q.[Qize], 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).
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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,
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Zheng, M.[Meng], Karanam, S.[Srikrishna], Wu, Z.[Ziyan], Radke, R.J.[Richard J.],
Re-Identification With Consistent Attentive Siamese Networks,
CVPR19(5728-5737).
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Sun, Y.[Yifan], 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,
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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
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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

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

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

Sun, X., Zhang, N., Chen, Q., Cao, Y., Liu, B.,
People Re-Identification by Multi-Branch CNN with Multi-Scale Features,
ICIP19(2269-2273)
IEEE DOI 1910
People re-identification, Multi-branch CNN, Multi-scale features, Triplet loss BibRef

Zhu, Y., Guo, X., Liu, J., Jiang, Z.,
Multi-Branch Context-Aware Network for Person Re-Identification,
ICIP19(2274-2278)
IEEE DOI 1910
Person re-identification, convolutional neural networks, contextual dependencies, attention module BibRef

Xin, X., Wu, X., Wang, Y., Wang, J.,
Deep Self-Paced Learning for Semi-Supervised Person Re-Identification Using Multi-View Self-Paced Clustering,
ICIP19(2631-2635)
IEEE DOI 1910
Person Re-Identification, Semi-Supervised Learning, Convolutional Neural Network, Multi-View Clustering, Self-paced Learning 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

Yin, J., Li, B., Wan, F., Zhu, Y.,
A New Data Selection Strategy for One-Shot Video-Based Person Re-Identification,
ICIP19(1227-1231)
IEEE DOI 1910
Person re-identification, one-shot, semi-supervised, deep learning 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

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

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,
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Springer DOI 1906
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Ponce-López, V.[Víctor], Burghardt, T.[Tilo], Hannunna, S.[Sion], Damen, D.[Dima], Masullo, A.[Alessandro], Mirmehdi, M.[Majid],
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PersonContext18(II:551-561).
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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).
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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

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).
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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

Zhang, Y.H.[Yong-Hui], Shao, J.[Jie], Ouyang, D.Q.[De-Qiang], Shen, H.T.[Heng Tao],
Person Re-identification Using Two-Stage Convolutional Neural Network,
ICPR18(3341-3346)
IEEE DOI 1812
Feature extraction, Image sequences, Convolutional neural networks, Computer aided instruction, Training BibRef

Xiang, J., Lin, R., Hou, J., Huang, W.,
Person Re-identification Based on Feature Fusion and Triplet Loss Function,
ICPR18(3477-3482)
IEEE DOI 1812
Feature extraction, Semantics, Measurement, Task analysis, Neural networks, Convolution, Training 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 BibRef

Du, P., Song, Y., Zhang, Y.,
Which Part is Better: Multi-Part Competition Network for person Re-Identification,
ICPR18(1634-1639)
IEEE DOI 1812
Feature extraction, Head, Detectors, Measurement, Convolution, Magnetic heads, Legged locomotion, person re-identification, Multi-Part Competition Network BibRef

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

Li, Y., Yang, F., Liu, Y., Yeh, Y., Du, X., Wang, Y.F.,
Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification,
Crowd18(285-2856)
IEEE DOI 1812
Adaptation models, Training, Cameras, Task analysis, Data models, Visualization, Feature extraction BibRef

Lejbølle, A.R., Krogh, B., Nasrollahi, K., Moeslund, T.B.,
Attention in Multimodal Neural Networks for Person Re-identification,
Crowd18(292-2928)
IEEE DOI 1812
Feature extraction, Convolution, Data mining, Fuses, Cameras, Image color analysis, Neural networks BibRef

Chen, D., Xu, D., Li, H., Sebe, N., Wang, X.,
Group Consistent Similarity Learning via Deep CRF for Person Re-identification,
CVPR18(8649-8658)
IEEE DOI 1812
Training, Measurement, Probes, Neural networks, Estimation, Graphical models, Task analysis 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

Shen, Y., Xiao, T., Li, H., Yi, S., Wang, X.,
End-to-End Deep Kronecker-Product Matching for Person Re-identification,
CVPR18(6886-6895)
IEEE DOI 1812
Computer vision, Estimation, Neural networks, Measurement, Layout, Semantics 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

Si, J., Zhang, H., Li, C., Kuen, J., Kong, X., Kot, A.C., Wang, G.,
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,
CVPR18(5363-5372)
IEEE DOI 1812
Feature extraction, Measurement, Task analysis, Visualization, Semantics, Transforms, Computer vision 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

Guo, Y., Cheung, N.,
Efficient and Deep Person Re-identification Using Multi-level Similarity,
CVPR18(2335-2344)
IEEE DOI 1812
Feature extraction, Convolution, Visualization, Task analysis, Measurement, Image color analysis, Computational modeling BibRef

Chang, X., Hospedales, T.M., Xiang, T.,
Multi-level Factorisation Net for Person Re-identification,
CVPR18(2109-2118)
IEEE DOI 1812
Semantics, Computer architecture, 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
Feature extraction, Clutter, Pose estimation, Legged locomotion, Cameras, Visualization, Task analysis BibRef

Shen, Y., Li, H., Xiao, T., Yi, S., Chen, D., Wang, X.,
Deep Group-Shuffling Random Walk for Person Re-identification,
CVPR18(2265-2274)
IEEE DOI 1812
Probes, Neural networks, Training, Task analysis, Testing, Estimation 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

Marchwica, P., Jamieson, M., Siva, P.,
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification,
CRV18(297-304)
IEEE DOI 1812
Cameras, Training, Buildings, Network architecture, Testing, Training data, Airports, Person Re-identification, Deep Learning BibRef

Zhong, Z.[Zhun], Zheng, L.[Liang], Li, S.[Shaozi], Yang, Y.[Yi],
Generalizing a Person Retrieval Model Hetero- and Homogeneously,
ECCV18(XIII: 176-192).
Springer DOI 1810
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

Chen, D.P.[Da-Peng], Li, H.S.[Hong-Sheng], Liu, X.[Xihui], Shen, Y.[Yantao], Shao, J.[Jing], Yuan, Z.J.[Ze-Jian], Wang, X.G.[Xiao-Gang],
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,
ECCV18(XVI: 56-73).
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

Chen, Y.Q.[Yi-Qiang], Duffner, S.[Stefan], Stoian, A.[Andrei], Dufour, J.Y.[Jean-Yves], Baskurt, A.[Atilla],
Person Re-identification Using Group Context,
ACIVS18(392-401).
Springer DOI 1810
BibRef
And:
Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network,
ACIVS18(26-37).
Springer DOI 1810
BibRef
And: A1, A2, A5, A3, A4:
Similarity Learning with Listwise Ranking for Person Re-Identification,
ICIP18(843-847)
IEEE DOI 1809
Training, Loss measurement, Probes, Robustness, Machine learning, Manganese, Video surveillance, Similarity learning BibRef

Jiao, F., Bhanu, B.,
Deepagent: An Algorithm Integration Approach for Person Re-Identification,
ICIP18(853-857)
IEEE DOI 1809
Probes, Feature extraction, Training, Cameras, Learning (artificial intelligence), Neural networks, Testing, Algorithm integration 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

Zhao, Y., Luo, S., Yang, Y., Song, M.,
DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification,
ICIP18(1653-1657)
IEEE DOI 1809
CNN, person re-identification, hashing BibRef

Yu, J., Ko, D., Moon, H., Jeon, M.,
Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition,
ICIP18(1658-1662)
IEEE DOI 1809
Task analysis, Face, Feature extraction, Measurement, Training, Optimization, Probes, person re-identification BibRef

Chen, W., Chen, X., Zhang, J., Huang, K.,
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification,
CVPR17(1320-1329)
IEEE DOI 1711
Feature extraction, Loss measurement, Machine learning, Probes, Testing, Training BibRef

Carr, S.B.P.,
Deep spatial pyramid for person re-identification,
AVSS17(1-6)
IEEE DOI 1806
cellular neural nets, feature extraction, image classification, image representation, image sensors, Training BibRef

Chen, Y., Duffner, S., Stoian, A., Dufour, J.Y., Baskurt, A.,
Triplet CNN and pedestrian attribute recognition for improved person re-identification,
AVSS17(1-6)
IEEE DOI 1806
feature extraction, image representation, learning (artificial intelligence), multilayer perceptrons, Visualization BibRef

Zhang, Y.H.[Yi-Hao], Wang, W.M.[Wen-Min], Wang, J.Z.[Jin-Zhuo],
Deep discriminative network with inception module for person re-identification,
VCIP17(1-4)
IEEE DOI 1804
cameras, computer vision, feature extraction, feedforward neural nets, image classification, image matching, person re-identification 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

Lin, S., Li, C.T.,
End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification,
DICTA17(1-6)
IEEE DOI 1804
feature extraction, image matching, image representation, learning (artificial intelligence), neural nets, Training 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

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

Liu, J., Yang, Z., Zhang, T., Xiong, H.,
Multi-part compact bilinear CNN for person re-identification,
ICIP17(2309-2313)
IEEE DOI 1803
Convolution, Convolutional neural networks, Feature extraction, Histograms, Machine learning, Measurement, Task analysis, multi-part BibRef

Kim, J., Yoo, C.D.,
Deep partial person re-identification via attention model,
ICIP17(3425-3429)
IEEE DOI 1803
Convolution, Feature extraction, Kernel, Measurement, Neural networks, Probes, Training, Attention model, RoI Pooling 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

Rahimpour, A., Liu, L., Taalimi, A., Song, Y., Qi, H.,
Person re-identification using visual attention,
ICIP17(4242-4246)
IEEE DOI 1803
Computational modeling, Computer architecture, Measurement, Neural networks, Task analysis, Training, Visualization, Deep CNN, Triplet loss 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

Zhao, L., Li, X., Zhuang, Y., Wang, J.,
Deeply-Learned Part-Aligned Representations for Person Re-identification,
ICCV17(3239-3248)
IEEE DOI 1802
image matching, image representation, learning (artificial intelligence), neural nets, Probes BibRef

Chung, D., Tahboub, K., Delp, E.J.,
A Two Stream Siamese Convolutional Neural Network for Person Re-identification,
ICCV17(1992-2000)
IEEE DOI 1802
convolution, image matching, neural nets, video surveillance, matching accuracy, person re-identification, Streaming media BibRef

Zhou, J., Yu, P., Tang, W., Wu, Y.,
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification,
ICCV17(2439-2447)
IEEE DOI 1802
image classification, learning (artificial intelligence), efficient online local metric adaptation, Visualization BibRef

Liu, Z., Wang, D., Lu, H.,
Stepwise Metric Promotion for Unsupervised Video Person Re-identification,
ICCV17(2448-2457)
IEEE DOI 1802
image matching, video signal processing, cross-camera nearest neighbors, Visualization BibRef

Zhou, S., Wang, J., Wang, J., Gong, Y., Zheng, N.,
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification,
CVPR17(5028-5037)
IEEE DOI 1711
Cameras, Feature extraction, Learning systems, Lighting, Machine learning, Measurement, Robustness 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
Computer architecture, Feature extraction, Image sequences, Measurement, Recurrent, neural, networks BibRef

Li, D., Chen, X., Zhang, Z., Huang, K.,
Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,
CVPR17(7398-7407)
IEEE DOI 1711
Clutter, Feature extraction, Image color analysis, Kernel, Machine learning, Visualization BibRef

Zhang, L.[Li], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Learning a Deep Embedding Model for Zero-Shot Learning,
CVPR17(3010-3019)
IEEE DOI 1711
BibRef
Earlier:
Learning a Discriminative Null Space for Person Re-identification,
CVPR16(1239-1248)
IEEE DOI 1612
Computational modeling, Neural networks, Prototypes, Search problems, Semantics, Training, Visualization 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.[Peixi], Tian, Y.H.[Yong-Hong], Xiang, T.[Tao], Wang, Y.[Yaowei], 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

Varior, R.R.[Rahul Rama], Haloi, M.[Mrinal], Wang, G.[Gang],
Gated Siamese Convolutional Neural Network Architecture for Human Re-identification,
ECCV16(VIII: 791-808).
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

Wu, S., Chen, Y.C., Li, X., Wu, A.C., You, J.J., Zheng, W.S.,
An enhanced deep feature representation for person re-identification,
WACV16(1-8)
IEEE DOI 1606
Convolution 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

Ahmed, E.[Ejaz], Jones, M.[Michael], Marks, T.K.[Tim K.],
An improved deep learning architecture for person re-identification,
CVPR15(3908-3916)
IEEE DOI 1510
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

Shen, Y.[Yantao], 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

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

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

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

Schumann, A., Stiefelhagen, R.[Rainer],
Person Re-identification by Deep Learning Attribute-Complementary Information,
Re-Id17(1435-1443)
IEEE DOI 1709
Cameras, Machine learning, Robustness, Semantics, Training, Training, data BibRef

Schumann, A., Bauml, M.[Martin], Stiefelhagen, R.[Rainer],
Person tracking-by-detection with efficient selection of part-detectors,
AVSS13(43-50)
IEEE DOI 1311
computer graphics 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

Weber, M., Bauml, M., Stiefelhagen, R.[Rainer],
Part-based clothing segmentation for person retrieval,
AVSBS11(361-366).
IEEE DOI 1111
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 -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Metric Learning, Re-Identification Issues .


Last update:Sep 21, 2020 at 13:40:48