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Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification [article]

Zefeng Ding, Changxing Ding, Zhiyin Shao, Dacheng Tao
2021 arXiv   pre-print
Text-to-image person re-identification (ReID) aims to search for images containing a person of interest using textual descriptions.  ...  Accordingly, in this paper, we propose a Semantically Self-Aligned Network (SSAN) to handle the above problems.  ...  INTRODUCTION T EXT-to-image person re-identification (ReID) refers to searching for images containing a person of interest (e.g. a missing child) based on natural language descriptions.  ... 
arXiv:2107.12666v2 fatcat:c3fwkc7vivcxbogohr3mleiymu

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends [article]

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz
2022 arXiv   pre-print
Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system.  ...  It aims to automatically identify/search persons in a multi-camera network having non-overlapping field-of-views.  ...  Changxing Ding et al. in [132] presented a multi-task part-aware network to handle the challenge of misalignment. Semantically aligned features of aligned parts are extracted in training phase.  ... 
arXiv:2202.13121v1 fatcat:luwwbcwspndqpauj4dosmmojee

Deep Learning for Person Re-identification: A Survey and Outlook [article]

Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
2021 arXiv   pre-print
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras.  ...  Meanwhile, we introduce a new evaluation metric (mINP) for person Re-ID, indicating the cost for finding all the correct matches, which provides an additional criteria to evaluate the Re-ID system for  ...  semantically-aligned part feature learning.  ... 
arXiv:2001.04193v2 fatcat:4d3thmsr3va2tnu72nawlu2wxy

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.  ...  ., +, TIP 2021 8236-8250 An End-to-End Foreground-Aware Network for Person Re-Identification.  ...  ., +, TIP 2021 4973-4984 Batch Coherence-Driven Network for Part-Aware Person Re-Identification. Wang, K., +, TIP 2021 3405-3418 Bifurcated Backbone Strategy for RGB-D Salient Object Detection.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search [article]

Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Pai Peng, Xiaowei Guo, Xing Sun
2021 arXiv   pre-print
Text-based person search aims at retrieving target person in an image gallery using a descriptive sentence of that person.  ...  Firstly, a novel staircase network structure is proposed to extract full-scale image features with better locality.  ...  Related Work Person Re-identification (ReID).  ... 
arXiv:2101.03036v1 fatcat:eibhv5yunjervjioss5j6svgme

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.  ...  ., +, TMM 2021 4483-4490 Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visi-ble-Thermal Person Re-Identification.  ...  ., +, TMM 2021 2114-2126 Learning Spatial-Temporal Representations Over Walking Tracklet for Long-Term Person Re-Identification in the Wild.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 947-958 CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification.  ...  ., +, TIP 2020 5805-5816 Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification [article]

Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
2020 arXiv   pre-print
Occluded person re-identification (ReID) aims to match occluded person images to holistic ones across dis-joint cameras.  ...  At first, we use a CNN backbone and a key-points estimation model to extract semantic local features. Even so, occluded images still suffer from occlusion and outliers.  ...  Occluded Person Re-identification. Given occluded probe images, occluded person re-identification [48] aims to find the same person of full-body appearance in dis-joint Figure 2 .  ... 
arXiv:2003.08177v4 fatcat:qebat4cnw5fr3auusgom3ibany

Table of contents

2020 IEEE Transactions on Image Processing  
Zhu 3401 CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification ..................... .............................................................................  ...  Chen 5531 Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments ................... ...........................................................................  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

A Comprehensive Overview of Person Re-Identification Approaches

Hongbo Wang, Haomin Du, Yue Zhao, Jiming Yan
2020 IEEE Access  
This paper provides a comprehensive overview of person re-identification approaches to assist researchers in quickly understand this field with preference as well as to provide a more structured framework  ...  Person re-identification, identifying and tracking pedestrians in cross-domain monitoring systems, is an important technology in the computer vision field and of real significance for the construction  ...  The importance of semantic attributes, similar to part alignment, are self-evident for person re-identification tasks.  ... 
doi:10.1109/access.2020.2978344 fatcat:amocokxx25btbdeswuqxasox4u

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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.  ...  ., +, TPAMI Feb. 2021 516-531 Learning Part-based Convolutional Features for Person Re-Identification.  ...  Jabi, M., +, TPAMI June for Image Classification. Li, J., +, TPAMI May 2021 1808-1814 Learning Part-based Convolutional Features for Person Re-Identification.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

Table of Contents

2019 2019 IEEE/CVF International Conference on Computer Vision (ICCV)  
UK), and Tao Xiang (University of Surrey) Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification  ...  via Joint Pixel and Feature Alignment Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification 3641 Jianyuan Guo (Peking University), Yuhui Yuan (Microsoft Research), Lang Huang  ... 
doi:10.1109/iccv.2019.00004 fatcat:5aouo4scprc75c7zetsimylj2y

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things [article]

Jing Zhang, Dacheng Tao
2020 arXiv   pre-print
In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment, transmit them to cloud centers, and receive feedback via the internet for connectivity  ...  This paper presents a comprehensive survey on AIoT to show how AI can empower the IoT to make it faster, smarter, greener, and safer.  ...  Although biometric recognition offers great utility, the concerns about data security and privacy have to be carefully addressed in practical AIoT systems. 7) Person Re-Identification: Person re-identification  ... 
arXiv:2011.08612v1 fatcat:dflut2wdrjb4xojll34c7daol4

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
for Person Re-Identification DAY 4 -Jan 15, 2021 Liu, Hong; Miao, Ziling; Yang, Bing; Ding, Runwei 2104 A Base-Derivative Framework for Cross-Modality RGB-Infrared Person Re-Identification DAY 4 -Jan  ...  GAN for Unsupervised Person Re-identification DAY 4 -Jan 15, 2021 Dietlmeier, Julia; Antony, Joseph; McGuinness, Kevin; O'Connor, Noel E 1921 How Important Are Faces for Person Re-Identification  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification [article]

Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li
2021 arXiv   pre-print
Visible-infrared cross-modality person re-identification is a challenging ReID task, which aims to retrieve and match the same identity's images between the heterogeneous visible and infrared modalities  ...  To our knowledge, this is the first work of applying transformer network to the cross-modality re-identification task.  ...  The Visible- infrared person re-identification attempts to recognize visi- ble and infrared images of a person under cameras of differ- ent modalities.  ... 
arXiv:2110.08994v1 fatcat:yjkremq7sfbjtdyheplvxg44vm
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