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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
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification—0
Recurrent Convolutional Network for Video-Based Person Re-Identification—0
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification—0
Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild—0
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification—0
SEAS: ShapE-Aligned Supervision for Person Re-Identification—0
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification—0
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification—0
Set Augmented Triplet Loss for Video Person Re-Identification—0
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos—0
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