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Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention
[article]
2019
arXiv
pre-print
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Video-based person re-identification (ReID) is a challenging problem, where some video tracks of people across non-overlapping cameras are available for matching. ...
Firstly, we use 3D convolutions on video volume, instead of using 2D convolutions across frames, to extract spatial and temporal features simultaneously. ...
Then we will discuss some related works about 3D convolution neural networks and non-local methods. ...
arXiv:1807.05073v3
fatcat:do3g3rq7bfag7k53zzcv27ag74
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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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. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TMM 2021 2672-2682 Aggregating Global and Local Visual Representation for Vehicle Re-IDentification. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30
2020
IEEE transactions on circuits and systems for video technology (Print)
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., 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 Jan. 2020 104-116 Complementation-Reinforced Attention Network for Person Re-Identification. ...
doi:10.1109/tcsvt.2020.3043861
fatcat:s6z4wzp45vfflphgfcxh6x7npu
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 6151-6163
Learning Recurrent 3D Attention for Video-Based Person Re-Identification. ...
., +, TIP 2020 2676-2691 Learning Recurrent 3D Attention for Video-Based Person Re-Identification. Chen, G., +, TIP 2020 6963-6976 Learning Symmetry Consistent Deep CNNs for Face Completion. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Table of Contents
2021
IEEE transactions on multimedia
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Li Person Re-Identification in Aerial Imagery . . . .....S. Zhang, Q. Zhang, Y. Yang, X. Wei, P. Wang, B. Jiao, and Y. ...
Quan Multimedia Search and Retrieval Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification . . . . . . . . . . . . . . . . . . . . . . . . . ...Dual Neural Networks Coupling ...
doi:10.1109/tmm.2021.3132246
fatcat:el7u2udtybddrpbl5gxkvfricy
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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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. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TIP 2021 293-304 Computational efficiency Person Re-Identification via Attention Pyramid. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29
2019
IEEE transactions on circuits and systems for video technology (Print)
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Tu, Z., +, TCSVT May 2019 1423-1437 Sharp Attention Network via Adaptive Sampling for Person Re-Identification. ...
., +, TCSVT Jan. 2019 275-280 Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks. ...
doi:10.1109/tcsvt.2019.2959179
fatcat:2bdmsygnonfjnmnvmb72c63tja
Appearance-Preserving 3D Convolution for Video-based Person Re-identification
[article]
2020
arXiv
pre-print
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Due to the imperfect person detection results and posture changes, temporal appearance misalignment is unavoidable in video-based person re-identification (ReID). ...
In this case, 3D convolution may destroy the appearance representation of person video clips, thus it is harmful to ReID. ...
Appearance-Preserving 3D Convolution for Video-based Person ReID ...
arXiv:2007.08434v2
fatcat:jmbmchlorbaftoamwzzwddpbka
Deep learning-based person re-identification methods: A survey and outlook of recent works
[article]
2022
arXiv
pre-print
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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 ...
With the widespread application of deep neural networks, many deep learning-based person Re-ID methods have emerged. ...
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
Table of contents
2020
IEEE Transactions on Image Processing
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Zhang, and H. Qin 4296 Deep HDR Imaging via A Non-Local Network ...... Q. Yan, L. Zhang, Y. Liu, Y. Zhu, J. Sun, Q. Shi, and Y. ...
Shen 3351 A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos ................................. ....................................................................... ...
doi:10.1109/tip.2019.2940372
fatcat:h23ul2rqazbstcho46uv3lunku
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work
[article]
2023
arXiv
pre-print
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Vision Transformers (ViTs) are becoming more popular and dominating technique for various vision tasks, compare to Convolutional Neural Networks (CNNs). ...
In this paper, we begin by introducing the fundamental concepts and background of the self-attention mechanism. ...
Fig. 6 : 6 Fig. 6: Timeline of self-attention-based mechanism methods for person re-identification. ...
arXiv:2203.01536v5
fatcat:5icaqq47krejvgqjymuwa2eioi
2020 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 42
2021
IEEE Transactions on Pattern Analysis and Machine Intelligence
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., and Nishino, K., Recognizing Material Properties from Images; 1981-1995 Sebe, N., see Pilzer, A., 2380-2395 Seddik, M., see Tamaazousti, Y., 2212-2224 Shah, M., see Kalayeh, M.M., TPAMI June 2020 ...
Zhang, Z.,
+, TPAMI Oct. 2020 2608-2623
Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Iden-
tification. ...
Borghi, G., +,
TPAMI March 2020 596-609
TPAMI Oct. 2020 2333-2345
Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Iden-
tification. ...
doi:10.1109/tpami.2020.3036557
fatcat:3j6s2l53x5eqxnlsptsgbjeebe
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
[article]
2024
arXiv
pre-print
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Current state-of-the-art Video-based Person Re-Identification (Re-ID) primarily relies on appearance features extracted by deep learning models. ...
In this work, we deal with the practical problem of Video-based Cloth-Changing Person Re-ID (VCCRe-ID) by proposing "Attention-based Shape and Gait Representations Learning" (ASGL) for VCCRe-ID. ...
INTRODUCTION Person Re-Identification (Re-ID) involves matching the same person across multiple non-overlapping cameras with variations in pose, lighting, or appearance. ...
arXiv:2402.03716v1
fatcat:buyshowi4rfnbesrdhhu5jjnqi
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TPAMI Jan. 2021 172-186 Ordered or Orderless: A Revisit for Video Based Person Re-Identification. Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Front Matter: Volume 11373
2020
Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
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. The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
plug-and-play LSTM-based attention module for person re-identification 11373 0D Light field camera based automatic algorithm for optimal face search 11373 0E Research on still image activity recognition ...
doi:10.1117/12.2561685
fatcat:5dwsd2oxjjcdllprs6rtum4tfu
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