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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 31–40 of 117 papers

TitleStatusHype
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification—0
Learning adaptively from the unknown for few-example video person re-ID—0
Learning Compact Appearance Representation for Video-based Person Re-Identification—0
Deep Active Learning for Video-based Person Re-identification—0
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification—0
GAN-based Pose-aware Regulation for Video-based Person Re-identification—0
Convolutional Temporal Attention Model for Video-based Person Re-identification—0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification—0
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