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Video-Based Person Re-Identification

Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras

Papers

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Showing 81–90 of 117 papers

TitleStatusHype
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification—0
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification—0
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification—0
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification—0
Context Sensing Attention Network for Video-based Person Re-identification—0
Convolutional Temporal Attention Model for Video-based Person Re-identification—0
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