Person Re-Identification

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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Person Identification from Contextual Motion
Jun 11, 2026Igor Kviatkovsky, Ehud Rivlin, Ilan ShimshoniBiometric Identification Person Re-Identification
Department of Information Systems, University of Haifa, Carmel Mount, Rabin building, Haifa 31905, Israel
Bridging Day and Night: Unsupervised Cross-Domain Re-Identification with Synergistic Prompt and Prototype Learning
Jun 10, 2026Jiyang Xu, Rui Liu, Hang DaiUnsupervised Domain Adaptation Prototype Learning
School of Computer Science, Wuhan University, Wuhan, China
MFEN:Multi-Frequency Expert Network for Visible-Infrared Person Re-ID
Jun 10, 2026Xulin Li, Yan Lu, Bin Liu +4Frequency-Domain Feature Learning Person Re-Identification
University of Science and Technology of China, China · Anhui Province Key Laboratory of Digital Security, China · The Chinese University of Hong Kong, China
Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
Jun 10, 2026Dong-Woo Kim, Tae-Kyun KimInvariant Representation Learning Person Re-Identification
School of Computing, KAIST, Daejeon, South Korea.
Zero-Shot Semantic Re-Identification for Autonomous Driving: A VLM Baseline Study
Jun 8, 2026Eduardo Borges, Manuel Abreu, Luís Garrote +1VLM Evaluation Vision-Language Models
Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal
Does Appearance Help? A Systematic Study of Image-Based Re-Identification in Online 3D Multi-Pedestrian Tracking
Jun 5, 2026Eduardo Borges, Luís Garrote, Urbano J. NunesCamera-LiDAR Fusion 3D MOT
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Portugal
Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification
Jun 1, 2026Karina Kvanchiani, Timur MamedovCross-Modal Representation Learning Multi-Task Learning
1Tevian, Russia · 2Lomonosov Moscow State University, Russia
Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification
May 19, 2026Zhangjian Ji, Shaotong Qiao, Kai Feng +1Visual Prompt Learning Person Re-Identification
School of Computer & Information Technology, Shanxi University, Wucheng Rd.92, Taiyuan, 030006, Shanxi, China · Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Wucheng Rd.92, Taiyuan, 030006, Shanxi, China
View-Aware Semantic Alignment for Aerial-Ground Person Re-Identification
May 18, 2026Quan Zhang, Zeqiang Cai, Peiming Zhao +4Multi-View Learning Person Re-Identification
Sun Yat-sen University, China · Pazhou Lab (HuangPu), Guangdong, China · Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China +1
Bridging Data Trials and Task Barriers: A Unified Framework for Sketch Biometric Identification
May 17, 2026Decheng Liu, Bin Hu, Xinbo Gao +4Biometric Identification Face Recognition
Mind the Gap: Learning Modality-Agnostic Representations with a Cross-Modality UNet
May 16, 2026Xin Niu, Enyi Li, Jinchao Liu +3Cross-Modal Learning Cross-Modal Representation Learning
Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence, Nankai University, China, and also with Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, China. · VisionMetric Ltd, Canterbury, Kent, UK. · Department of Computer Science, Haifa University, Israel.
DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification
May 7, 2026Lei Tan, Yingshi Luan, Pincong Zou +2Metric Learning Person Re-Identification
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China
Prompt-Anchored Vision-Text Distillation for Lifelong Person Re-identification
May 6, 2026Wen Wen, Hao Chen, Shiliang ZhangCross-Modal Knowledge Distillation Continual Learning
University of Electronic Science and Technology of China, China · Harbin Institute of Technology, Shenzhen, China · Peking University, China
ICPR 2026 Competition on Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera (TVRID)
May 6, 2026Raphaël Delécluse, Hazem Wannous, Laurent GuimasCross-Modal Retrieval Person Re-Identification
IMT Nord Europe, University of Lille, CNRS UMR 9189 - CRIStal, F-59000 Lille, France · Explain, F-59000 Lille, France
AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification
Apr 30, 2026Sundas Iqbal, Qing Tian, Danish Ali +2Multi-Source Domain Adaptation Source-Free Domain Adaptation
School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, China · Wuxi Institute of Technology, Nanjing University of Information Science and Technology, Wuxi 214000, China · School of Computer Science, Wuhan University, Wuhan 430070, China +2
AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification
Apr 29, 2026Basudha Pal, Siyuan Huang, Anirudh Nanduri +2Transformer Interpretability Representation Probing
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA · Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742 USA · Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218 USA +1
InterPartAbility: Phrase-Region Grounding for Interpretable Text-to-Image Person Re-Identification
Apr 29, 2026Shakeeb Murtaza, Aryan Shukla, Rajarshi Bhattacharya +2VLM Interpretability Vision-Language Grounding
LIVIA, Dept. of Systems Engineering, ETS Montreal, Canada · Genetec Inc.
3D-LENS: A 3D Lifting-based Elevated Novel-view Synthesis method for Single-View Aerial-Ground Re-Identification
Apr 29, 2026William Grolleau, Astrid Sabourin, Guillaume Lapouge +1Novel View Synthesis Person Re-Identification
Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France · Sorbonne University, CNRS, Institute of Intelligent Systems and Robotics (ISIR), 42026 Place Jussieu, 75005 Paris, France
CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
Apr 29, 2026Fengchun Zhang, Qiang Ma, Liuyu Xiang +3Cross-Domain Generalization Federated Learning
School of Information and Software Engineering, University of Electronic Science and Technology of China · 2QiYuan Lab · School of Artificial Intelligence, Beijing University of Posts and Telecommunications +1
From Global to Local: Rethinking CLIP Feature Aggregation for Person Re-Identification
Apr 24, 2026Aotian Zheng, Winston Sun, Bahaa Alattar +2VLM Robustness Person Re-Identification
Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195 · Applied Physics Laboratory, University of Washington, Seattle, WA 98195
Temporal Prototyping and Hierarchical Alignment for Unsupervised Video-based Visible-Infrared Person Re-Identification
Apr 23, 2026Zhiyong Li, Wei Jiang, Haojie Liu +3Prototype Learning Video Representation Learning
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China · School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, 310018, China
Thinking Before Matching: A Reinforcement Reasoning Paradigm Towards General Person Re-Identification
Apr 21, 2026Quan Zhang, Jingze Wu, Jialong Wang +3Person Re-Identification
Sun Yat-sen University · Alibaba Cloud Computing
Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification
Apr 17, 2026Shuang Li, Jiaxu Leng, Changjiang Kuang +3Cross-Modal Alignment Unsupervised Representation Learning
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
Beyond Visual Cues: Semantic-Driven Token Filtering and Expert Routing for Anytime Person ReID
Apr 16, 2026Jiaxuan Li, Xin Wen, Zhihang LiCross-Modal Feature Matching Person Re-Identification
Tsinghua University · Independent Researcher · University of Chinese Academy of Sciences
Learning Language-Driven Sequence-Level Modal-Invariant Representations for Video-Based Visible-Infrared Person Re-Identification
Jan 17, 2026Xiaomei Yang, Antai Liu, Xizhan Gao +3Invariant Representation Learning Person Re-Identification
Shandong Key Laboratory of Ubiquitous Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan 250022, China · College of Information Science and Technology & Artificial Intelligence, Nanjing Forestry University, Nanjing 210037, China · Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Via P. Bucci, cubo 41C, 87036, Rende (CS), Italy
Leveraging Prior Knowledge of Diffusion Model for Person Search
Oct 2, 2025Giyeol Kim, Sooyoung Yang, Jihyong Oh +2Object Detection Person Re-Identification
GSAIM, Chung-Ang University · IPAI, Seoul National University · Department of Mathematical Sciences and RIMS, Seoul National University
Beyond Discrete Samples: High Information Density Replay for Efficient Lifelong Person Re-Identification
Aug 3, 2025Mingyu Wang, Haojie Liu, Zhiyong Li +3Replay-Based Continual Learning Dataset Condensation
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
Mar 15, 2025Yan Jiang, Hao Yu, Xu Cheng +3Privacy-Preserving ML Person Re-Identification
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu FI-90014, Finland · School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China

Jun 11, 2026, cs.CVJ/K move · Enter open · S save

Person Identification from Contextual Motion

Igor Kviatkovsky, Ehud Rivlin, Ilan Shimshoni

Department of Information Systems, University of Haifa, Carmel Mount, Rabin building, Haifa 31905, Israel

Biometric Identification Person Re-Identification

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We consider the problem of identifying people based on their motion styles. We present a generative model describing the action instance creation process and derive a probabilistic identity inference scheme for two common person identification scenarios motivated by the surveillance and authentication applications. We introduce a novel, \emph{interactive}, scenario for person identification from motion patterns. To this end, we formalize the identification process in the context of a sequential message exchange session between the subject and the system. The subject's behavior is modeled using a probabilistic generative model inspired by the Human Information Processing (HIP) paradigm. At each stage, the system presents a visual stimulus (a cue) to the subject and records their motion response. The cue is selected so as to maximize the mutual information of the expected response and the subject's identity. Once recorded, the response is used to update the a posteriori probability over possible subjects' identities. The process terminates once a sufficient classification confidence level is reached. To the best of our knowledge, this is the first time person identification is addressed in such interactive setting. We report high recognition rates on five publicly available datasets and our own novel dataset consisting of 4,476 recordings of 22 test subjects responding to 15 cues.

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