16.7.4.4.6 Adversarial Learning, GAN, Re-Identification Issues

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

Borgia, A., Hua, Y., Kodirov, E., Robertson, N.M.[Neil M.],
Cross-View Discriminative Feature Learning for Person Re-Identification,
IP(27), No. 11, November 2018, pp. 5338-5349.
IEEE DOI 1809
feature extraction, image representation, learning (artificial intelligence), discriminative features BibRef

Borgia, A.[Alessandro], Hua, Y.[Yang], Kodirov, E.[Elyor], Robertson, N.M.[Neil M.],
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification,
WACV19(1175-1184)
IEEE DOI 1904
gait analysis, image matching, image sequences, pose estimation, recurrent neural nets, inter-sequence temporal dependencies, Measurement BibRef

Lin, C.[Chunze], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Multi-Grained Deep Feature Learning for Robust Pedestrian Detection,
CirSysVideo(29), No. 12, December 2019, pp. 3608-3621.
IEEE DOI 1912
Feature extraction, Detectors, Image resolution, Semantics, Proposals, Task analysis, Generative adversarial networks, deep feature learning BibRef

Lin, C.[Chunze], Lu, J.W.[Ji-Wen], Wang, G.[Gang], Zhou, J.[Jie],
Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection,
IP(29), 2020, pp. 3820-3834.
IEEE DOI 2002
BibRef
Earlier:
Graininess-Aware Deep Feature Learning for Pedestrian Detection,
ECCV18(IX: 745-761).
Springer DOI 1810
Pedestrian detection, attention, deep learning, graininess BibRef

Chen, G.Y.[Guang-Yi], Lu, J.W.[Ji-Wen], Yang, M.[Ming], Zhou, J.[Jie],
Spatial-Temporal Attention-Aware Learning for Video-Based Person Re-Identification,
IP(28), No. 9, Sep. 2019, pp. 4192-4205.
IEEE DOI 1908
feature extraction, image matching, image representation, image sequences, learning (artificial intelligence), spatial-temporal attention model BibRef

Chen, G.Y.[Guang-Yi], Lu, J.W.[Ji-Wen], Yang, M.[Ming], Zhou, J.[Jie],
Learning Recurrent 3D Attention for Video-Based Person Re-Identification,
IP(29), 2020, pp. 6963-6976.
IEEE DOI 2007
Feature extraction, Robustness, Learning (artificial intelligence), Optical imaging, recurrent model BibRef

Rao, Y.M.[Yong-Ming], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification,
IJCV(127), No. 6-7, June 2019, pp. 701-718.
Springer DOI 1906
BibRef

Rao, Y.M.[Yong-Ming], Lin, J., Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Learning Discriminative Aggregation Network for Video-Based Face Recognition,
ICCV17(3801-3810)
IEEE DOI 1802
face recognition, learning (artificial intelligence), video signal processing, DAN method, adversarial learning, Measurement BibRef

Rao, Y.M.[Yong-Ming], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Attention-Aware Deep Reinforcement Learning for Video Face Recognition,
ICCV17(3951-3960)
IEEE DOI 1802
Markov processes, face recognition, learning (artificial intelligence), video signal processing, Markov processes BibRef

Ding, G.D.[Guo-Dong], Zhang, S., Khan, S.[Salman], Tang, Z.M.[Zhen-Min], Zhang, J., Porikli, F.M.[Fatih M.],
Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification,
MultMed(21), No. 11, November 2019, pp. 2891-2902.
IEEE DOI 1911
Labeling, Training, Generative adversarial networks, Encoding, generative modeling BibRef

Ding, G.D.[Guo-Dong], Khan, S.[Salman], Tang, Z.M.[Zhen-Min], Porikli, F.M.[Fatih M.],
Feature mask network for person re-identification,
PRL(137), 2020, pp. 91-98.
Elsevier DOI 2008
Person re-identification, Image retrieval, Network ensemble BibRef

Wu, L.[Lin], Wang, Y.[Yang], Yin, H.Z.[Hong-Zhi], Wang, M.[Meng], Shao, L.[Ling],
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification,
IP(29), 2020, pp. 1233-1245.
IEEE DOI 1911
Feature extraction, Cameras, Visualization, Training, Measurement, Recurrent neural networks, Video sequences, adversarial learning BibRef

Yan, Y.C.[Yi-Chao], Qin, J.[Jie], Chen, J.X.[Jia-Xin], Liu, L.[Li], Zhu, F.[Fan], Tai, Y.[Ying], Shao, L.[Ling],
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification,
CVPR20(2896-2905)
IEEE DOI 2008
Feature extraction, Correlation, Video sequences, Neural networks, Robustness, Task analysis, Spatiotemporal phenomena BibRef

Wu, L., Hong, R., Wang, Y., Wang, M.,
Cross-Entropy Adversarial View Adaptation for Person Re-Identification,
CirSysVideo(30), No. 7, July 2020, pp. 2081-2092.
IEEE DOI 2007
Training, Cameras, Computer science, Probes, Extraterrestrial measurements, Adaptation models, entropy regularization 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

Yao, R.[Rui], Gao, C.Y.[Cun-Yuan], Xia, S.X.[Shi-Xiong], Zhao, J.[Jiaqi], Zhou, Y.[Yong], Hu, F.[Fuyuan],
GAN-based person search via deep complementary classifier with center-constrained Triplet loss,
PR(104), 2020, pp. 107350.
Elsevier DOI 2005
Person search, Re-Identification, Pedestrian detection BibRef


Bouniot, Q., Audigier, R., Loesch, A.,
Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks,
AML-CV20(3450-3459)
IEEE DOI 2008
Measurement, Training, Task analysis, Protocols, Testing, Robustness, Perturbation methods 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

Wang, H., Wang, G., Li, Y., Zhang, D., Lin, L.,
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking,
CVPR20(339-348)
IEEE DOI 2008
Feature extraction, Task analysis, Robustness, Visualization, Perturbation methods, Training, Measurement BibRef

Cheng, Z., Dong, Q., Gong, S., Zhu, X.,
Inter-Task Association Critic for Cross-Resolution Person Re-Identification,
CVPR20(2602-2612)
IEEE DOI 2008
Image resolution, Training, Task analysis, Generative adversarial networks, Cameras, Generators BibRef

Zhou, J., Su, B., Wu, Y.,
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification,
CVPR20(2906-2915)
IEEE DOI 2008
Testing, Measurement, Visualization, Adaptation models, Feature extraction, Data models, Training BibRef

Ponce-López, V.[Víctor], Burghardt, T.[Tilo], Sun, Y.[Yue], Hannuna, S.[Sion], Damen, D.[Dima], Mirmehdi, M.[Majid],
Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs,
CIAP19(I:488-498).
Springer DOI 1909
BibRef

Wang, Z., Zheng, S., Song, M., Wang, Q., Rahimpour, A., Qi, H.,
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns,
ICCV19(8340-8349)
IEEE DOI 2004
cameras, feature extraction, image matching, learning (artificial intelligence), neural nets, Perturbation methods 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

Li, X.[Xiang], Wu, A.[Ancong], Zheng, W.S.[Wei-Shi],
Adversarial Open-World Person Re-Identification,
ECCV18(II: 287-303).
Springer DOI 1810
BibRef

Zheng, Z., Zheng, L., Yang, Y.,
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro,
ICCV17(3774-3782)
IEEE DOI 1802
convolution, image representation, image sampling, learning (artificial intelligence), neural nets, Training data BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People with Stereo, or Depth .


Last update:Oct 19, 2020 at 15:02:28