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Improving Person Re-identification via Pose-Aware Multi-shot Matching
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4471-6296-4_12openalex-snapshot
Mahalanobis Distance Learning for Person Re-identification
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_45openalex-snapshot
Person Re-identification by Video Ranking
inferredcites →https://doi.org/10.1007/978-3-642-19282-1_40openalex-snapshot
Pedestrian Recognition with a Learned Metric
inferredcites →https://doi.org/10.1007/978-3-642-21227-7_9openalex-snapshot
Person Re-identification by Descriptive and Discriminative Classification
inferredcites →https://doi.org/10.1007/978-3-642-33863-2_39openalex-snapshot
Person Re-identification: What Features Are Important?
inferredcites →https://doi.org/10.1109/cvpr.2010.5539926openalex-snapshot
Person re-identification by symmetry-driven accumulation of local features
inferredcites →https://doi.org/10.1109/cvpr.2012.6247939openalex-snapshot
Large scale metric learning from equivalence constraints
inferredcites →https://doi.org/10.1109/cvpr.2013.460openalex-snapshot
Unsupervised Salience Learning for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2013.461openalex-snapshot
Locally Aligned Feature Transforms across Views
inferredcites →https://doi.org/10.1109/cvpr.2014.26openalex-snapshot
Learning Mid-level Filters for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298832openalex-snapshot
Person re-identification by Local Maximal Occurrence representation and metric learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7299016openalex-snapshot
An improved deep learning architecture for person re-identification
inferredcites →https://doi.org/10.1109/dicta.2009.49openalex-snapshot
A Direct Method to Self-Calibrate a Surveillance Camera by Observing a Walking Pedestrian
inferredcites →https://doi.org/10.1109/iccv.1999.791289openalex-snapshot
Flexible camera calibration by viewing a plane from unknown orientations
inferredcites →https://doi.org/10.1109/icpr.2014.16openalex-snapshot
Deep Metric Learning for Person Re-identification
inferredcites →https://doi.org/10.1109/tpami.2006.178openalex-snapshot
Camera calibration from video of a walking human
inferredcites →https://doi.org/10.1109/tpami.2014.2360373openalex-snapshot
Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features
inferredcites →https://doi.org/10.1117/12.2083862openalex-snapshot
Person re-identification by pose priors
inferredcites →https://doi.org/10.1145/1273496.1273523openalex-snapshot
Information-theoretic metric learning
inferredcites →https://doi.org/10.5244/c.29.73openalex-snapshot
Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Video-Based Person Re-identification with Adaptive Multi-part Features Learning
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Unsupervised Person Re-identification by Deep Learning Tracklet Association
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Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification
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Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment
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Deep Learning in Person Re-identification for Cyber-Physical Surveillance Systems
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Person Re-identification Based on Feature Fusion
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Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification
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Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-71804-6_8openalex-snapshot
Possibilistic Classifier Combination for Person Re-identification
inferred← citeshttps://doi.org/10.1007/978-3-031-78498-9_29openalex-snapshot
Re-Identification Based on the Spatial-Temporal Fusion Network
inferred← citeshttps://doi.org/10.1007/978-3-031-80136-5_13openalex-snapshot
Missing Person Recognition Algorithms Based on Image Captioning and Visual Grounding
inferred← citeshttps://doi.org/10.1007/978-3-319-77380-3_76openalex-snapshot
Task-Specific Neural Networks for Pose Estimation in Person Re-identification Task
inferred← citeshttps://doi.org/10.1007/978-981-99-8543-2_21openalex-snapshot
Interventional Supervised Learning for Person Re-identification
inferred← citeshttps://doi.org/10.1007/s00138-023-01473-4openalex-snapshot
A camera style-invariant learning and channel interaction enhancement fusion network for visible-infrared person re-identification
inferred← citeshttps://doi.org/10.1007/s00521-019-04590-2openalex-snapshot
Person re-identification with features-based clustering and deep features
inferred← citeshttps://doi.org/10.1007/s00521-021-06502-9openalex-snapshot
Possibilistic rank-level fusion method for person re-identification
inferred← citeshttps://doi.org/10.1007/s00521-022-07276-4openalex-snapshot
Whole constraint and partial triplet-center loss for infrared-visible re-identification
inferred← citeshttps://doi.org/10.1007/s10846-019-01026-wopenalex-snapshot
Human Re-Identification with a Robot Thermal Camera Using Entropy-Based Sampling
inferred← citeshttps://doi.org/10.1007/s11042-017-5541-9openalex-snapshot
Person re-identification using salient region matching game
inferred← citeshttps://doi.org/10.1007/s11042-021-11739-6openalex-snapshot
Cross-modality person re-identication with triple-attentive feature aggregation
inferred← citeshttps://doi.org/10.1007/s11042-022-14311-yopenalex-snapshot
Multi-scale saliency features fusion model for person re-identification
inferred← citeshttps://doi.org/10.1007/s11042-026-21311-9openalex-snapshot
Enhanced holistic scale feature learning for VI-ReID for intelligent surveillance systems: A lightweight CNN approach
inferred← citeshttps://doi.org/10.1007/s11227-025-07870-yopenalex-snapshot
CPA-TAM: channel patch aggregation and topological association mining for visible-infrared person re-identification
inferred← citeshttps://doi.org/10.1007/s11432-019-2811-8openalex-snapshot
Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking
inferred← citeshttps://doi.org/10.1007/s13735-017-0136-9openalex-snapshot
Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos
inferred← citeshttps://doi.org/10.1007/s41064-019-00083-yopenalex-snapshot
Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.01.003openalex-snapshot
Joint person re-identification and camera network topology inference in multiple cameras
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104744openalex-snapshot
Object re-identification via spatial–temporal fusion networks and causal identity matching
inferred← citeshttps://doi.org/10.1016/j.imavis.2020.103956openalex-snapshot
Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106772openalex-snapshot
Dual-modality hard mining triplet-center loss for visible infrared person re-identification
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.100openalex-snapshot
Viewpoint Transform Matching model for person re-identification
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.05.009openalex-snapshot
Video-based person re-identification via spatio-temporal attentional and two-stream fusion convolutional networks
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.04.009openalex-snapshot
Distance-based camera network topology inference for person re-identification
inferred← citeshttps://doi.org/10.1088/2631-8695/ad23c9openalex-snapshot
Enhancing person re-identification on RGB-D data with noise free pose-regularized color and skeleton distance features
inferred← citeshttps://doi.org/10.1109/access.2018.2877841openalex-snapshot
GDMN: Group Decision-Making Network for Person Re-Identification
inferred← citeshttps://doi.org/10.1109/access.2019.2896779openalex-snapshot
Video-Based Person Re-Identification Using Unsupervised Tracklet Matching
inferred← citeshttps://doi.org/10.1109/access.2019.2912844openalex-snapshot
Part-Based Attribute-Aware Network for Person Re-Identification
inferred← citeshttps://doi.org/10.1109/access.2021.3097632openalex-snapshot
Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive
inferred← citeshttps://doi.org/10.1109/access.2021.3100571openalex-snapshot
A Color/Illuminance Aware Data Augmentation and Style Adaptation Approach to Person Re-Identification
inferred← citeshttps://doi.org/10.1109/access.2021.3116064openalex-snapshot
A Few-Shot Learning Method Using Feature Reparameterization and Dual-Distance Metric Learning for Object Re-Identification
inferred← citeshttps://doi.org/10.1109/access.2024.3492312openalex-snapshot
Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification
inferred← citeshttps://doi.org/10.1109/access.2025.3546683openalex-snapshot
Person Re-Identification With Self-Supervised Teacher for In-Box Noise
inferred← citeshttps://doi.org/10.1109/cicn63059.2024.10847390openalex-snapshot
Cross-Modality Person Re-Identification: An Attention-Enhanced Framework for Deep Fusion of Visible and Infrared Features
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A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00128openalex-snapshot
Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00070openalex-snapshot
Dissecting Person Re-Identification From the Viewpoint of Viewpoint
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00829openalex-snapshot
Pose-dIVE: Pose-Diversified Augmentation for Person Re-Identification
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666941openalex-snapshot
ReSORT: an ID-recovery multi-face tracking method for surveillance cameras
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Pedestrian re-ID based on deep feature
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Phasic maximal and local maximal occurrence representation for video-based person re-identification
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Stepwise Metric Promotion for Unsupervised Video Person Re-identification
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Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
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Vehicle Re-Identification With Viewpoint-Aware Metric Learning
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From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework
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Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
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Building a Real-Time System to Monitor Students Electronically Based on Digital Images of Face Movement
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Person Re-identification Using Two-Stage Convolutional Neural Network
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Retracted: Person Re-Identification Based on Multi-Level and Multi-Feature Fusion
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Learning Deep Appearance Feature for Multi-target Tracking
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On Cropping for Gait Recognition: Does Constant-velocity Locomotion Assumption Improve Gait Recognition Accuracy?
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Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features
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Multi-granularity Partial and Identity-aware Global Feature Learning for RGB-Infrared Person Re-identification
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Pedestrian Tracking Combined with Deep Learning and Camera Network Topology in Non-overlapping Multi-camera Surveillance
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Combining Pose Invariant and Discriminative Features for Vehicle Reidentification
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Feature Aggregation via Attention Mechanism for Visible-Thermal Person Re-Identification
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Video-Based Person Re-Identification With Accumulative Motion Context
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Learning Compact Appearance Representation for Video-Based Person Re-Identification
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Hierarchical Integration of Rich Features for Video-Based Person Re-Identification
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Incomplete Descriptor Mining With Elastic Loss for Person Re-Identification
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Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix
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DMA: Dual Modality-Aware Alignment for Visible-Infrared Person Re-Identification
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Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification
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PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification
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Cross-View Discriminative Feature Learning for Person Re-Identification
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Video Person Re-Identification by Temporal Residual Learning
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Pose-Invariant Embedding for Deep Person Re-Identification
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Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification
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Attribute and State Guided Structural Embedding Network for Vehicle Re-Identification
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Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification
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3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification
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MHSA-Net: Multihead Self-Attention Network for Occluded Person Re-Identification
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Deep Learning for Person Re-Identification: A Survey and Outlook
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Cross Domain Residual Transfer Learning for Person Re-Identification
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Pose Guided Gated Fusion for Person Re-identification
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Video-based person re-identification with parallel spatial–temporal attention module
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Moving Average Recurrent Neural Network Model for Video-based Person Re-Identification
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Adaptive Exploration for Unsupervised Person Re-identification
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Visible-Infrared Cross-Modal Person Re-identification based on Positive Feedback
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Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark
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3D Skeleton and Two Streams Approach to Person Re-identification Using Optimized Region Matching
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A Comprehensive Review on Group Re-identification in Surveillance Videos
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Person re-identification based on multi-branch visual transformer and self-distillation
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Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey
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Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification
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Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification
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Review on deep learning based techniques for person re-identification
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Enabling Open-Set Person Re-Identification for Real-World Scenarios
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3D Gaussian Descriptor for Video-based Person Re-Identification
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Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification
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Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey
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Pedestrian Pose Estimation Based on YOLO-SwinTransformer Hybrid Model
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Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding
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Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification
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MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
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Deep Learning End-to-end Person Search and Multiple Pedestrian Tracking
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