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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 41–50 of 117 papers

TitleStatusHype
Multi-scale 3D Convolution Network for Video Based Person Re-Identification—0
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings—0
Convolutional Temporal Attention Model for Video-based Person Re-identification—0
Intra-clip Aggregation for Video Person Re-identification—0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID—0
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
Learning Compact Appearance Representation for Video-based Person Re-Identification—0
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification—0
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification—0
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