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Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond [article]

Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Yu-Chiang Frank Wang
2020 arXiv   pre-print
To overcome this problem, we propose a novel generative adversarial network to address cross-resolution person re-ID, allowing query images with varying resolutions.  ...  Person re-identification (re-ID) aims at matching images of the same person across camera views.  ...  2019 and 2017, respectively.  ... 
arXiv:2002.09274v2 fatcat:5ffgelahtjfenb4aztd4eytibm

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Person Re-Identification.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Table of Contents

2021 IEEE transactions on multimedia  
Quan Multimedia Search and Retrieval Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification . . . . . . . . . . . . . . . . . . . . . . . . . ...Dual Neural Networks Coupling  ...  for Visible Thermal Person Re-Identification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..Coarse-to-Fine CNN for Image Super-Resolution . . . . . . . . . . . . ..C.  ... 
doi:10.1109/tmm.2021.3132246 fatcat:el7u2udtybddrpbl5gxkvfricy

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TMM 2021 4483-4490 Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visi-ble-Thermal Person Re-Identification.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Table of contents

2020 IEEE Transactions on Image Processing  
Huang 4461 Learning a Deep Dual Attention Network for Video Super-Resolution ...................... F. Li, H. Bai, and Y.  ...  Fei, and B. Qin 2845 Context-Interactive CNN for Person Re-Identification ....... W.Song, S. Li, T. Chang, A. Hao, Q. Zhao, and H.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

Semantically Selective Augmentation for Deep Compact Person Re-Identification [chapter]

Víctor Ponce-López, Tilo Burghardt, Sion Hannunna, Dima Damen, Alessandro Masullo, Majid Mirmehdi
2019 Landolt-Börnstein - Group III Condensed Matter  
We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clusteringbased network compression to generate high performance, light and fast inference  ...  Thereby, we encode information in the classifier network which can be utilized to steer adversarial synthesis, and which fuels our Con-denseNet ID-network training.  ...  Acknowledgements This work was performed under the SPHERE IRC funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/K031910/1.  ... 
doi:10.1007/978-3-030-11012-3_41 fatcat:2tnodwa6tbb63khzsrfozhdeci

Table of contents

2019 IEEE Transactions on Image Processing  
Foroosh 4486 Pose-Invariant Embedding for Deep Person Re-Identification ................. L. Zheng, Y. Huang, H. Lu, and Y.  ...  Ling 4659 Discriminative Feature Learning With Foreground Attention for Person Re-Identification ................................ .............................................................. S.  ... 
doi:10.1109/tip.2019.2925750 fatcat:p6pnbp7tsrervmwma4oezunhpq

Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification [article]

Zheng Wang, Zhixiang Wang, Yinqiang Zheng, Yang Wu, Wenjun Zeng, Shin'ichi Satoh
2020 arXiv   pre-print
An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis.  ...  Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID).  ...  Acknowledgement This work was supported partly by the JST CREST Grant JP-MJCR1686, partly by the Grant-in-Aid for JSPS Fellows 18F18378, and partly by the Microsoft Collaborative Research Grant.  ... 
arXiv:1905.10048v4 fatcat:trxlyflmcfaoxenlwskfpcikiu

Deep learning-based person re-identification methods: A survey and outlook of recent works [article]

Zhangqiang Ming, Min Zhu, Xiangkun Wang, Jiamin Zhu, Junlong Cheng, Chengrui Gao, Yong Yang, Xiaoyong Wei
2022 arXiv   pre-print
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics  ...  Finally, we discuss some challenges and possible research directions for person Re-ID.  ...  This work was supported by the National Key Research and Development Project of China (No. JG2018190), and in part by the National Natural Science Foundation of China (No. 61872256).  ... 
arXiv:2110.04764v5 fatcat:x2on7dfe2rdfxhaev3c3j34ugu

Semantically Selective Augmentation for Deep Compact Person Re-Identification [article]

Víctor Ponce-López, Tilo Burghardt, Sion Hannunna, Dima Damen, Alessandro Masullo, Majid Mirmehdi
2018 arXiv   pre-print
We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clustering-based network compression to generate high performance, light and fast inference  ...  Thereby, we encode information in the classifier network which can be utilized to steer adversarial synthesis, and which fuels our CondenseNet ID-network training.  ...  In this paper, we introduce an approach for producing high performance, light and fast deep Re-ID inference networks for persons -built from limited training data and not explicitly dependent on face identification  ... 
arXiv:1806.04074v3 fatcat:wuvfu2aqujerbfdl6ltzt3ihh4

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., TCSVT Jan. 2020 217-231 Hu, X., see Zhu, L., TCSVT Oct. 2020 3358-3371 Hu, Y., Lu, M., Xie, C., and Lu, X  ...  ., and Zeng, B., MUcast: Linear Uncoded Multiuser TCSVT Nov. 2020 4299-4308 Hu, R., see Chen, L., TCSVT Dec. 2020 4513-4525 Hu, R., see Wang, X., TCSVT Nov. 2020 4309-4320 Hu, X., see Zhang, X  ...  ., +, TCSVT Oct. 2020 3688-3701 Cross-Entropy Adversarial View Adaptation for Person Re-Identification.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, LSP 2021 842-846 Efficient Cross-Modality Graph Reasoning for RGB-Infrared Person Re-Identification.  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74

Table of Contents

2021 IEEE Signal Processing Letters  
Li, and J. Wu Biclustering Collaborative Learning for Cross-Domain Person Re-Identification . . . . . .Z. Pang, J. Guo, W. Sun, and S.  ...  Liu, and L. Pang Part-Relation-Aware Feature Fusion Network for Person Re-Identification. . . . . . . . .Y. Hou, S. Lian, H. Hu, and D.  ... 
doi:10.1109/lsp.2021.3134549 fatcat:m6obtl7k7zdqvd62eo3c4tptfy

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
Rong, X., +, TIP 2020 591-601 Unsupervised Person Re-identification via Cross-Camera Similarity Exploration.  ...  Tian, L., +, TIP 2020 8429-8442 Unsupervised Person Re-identification via Cross-Camera Similarity Exploration.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

A survey on generative adversarial networks for imbalance problems in computer vision tasks

Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín, Aitor Gutierrez
2021 Journal of Big Data  
In recent years, Generative Adversarial Neural Networks (GANs) have gained immense attention by researchers across a variety of application domains due to their capability to model complex real-world image  ...  In this paper, we examine the most recent developments of GANs based techniques for addressing imbalance problems in image data.  ...  Also, we acknowledge the members of the Autonomous and Intelligent Systems Unit, Tekniker, for valuable discussions and collaborations.  ... 
doi:10.1186/s40537-021-00414-0 pmid:33552840 pmcid:PMC7845583 fatcat:g3p6hbjuj5c5vbe23ms4g6ed6q
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