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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 76–100 of 117 papers

TitleStatusHype
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification—0
Global-Local Temporal Representations For Video Person Re-Identification—0
Learning adaptively from the unknown for few-example video person re-ID—0
Temporal Knowledge Propagation for Image-to-Video Person Re-identificationCode0
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-IdentificationCode0
VRSTC: Occlusion-Free Video Person Re-Identification—0
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification—0
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding—0
Intra-clip Aggregation for Video Person Re-identification—0
Convolutional Temporal Attention Model for Video-based Person Re-identification—0
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification—0
GAN-based Pose-aware Regulation for Video-based Person Re-identification—0
Spatial and Temporal Mutual Promotion for Video-based Person Re-identificationCode0
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification—0
EgoReID Dataset: Person Re-identification in Videos Acquired by Mobile Devices with First-Person Point-of-View—0
Deep Active Learning for Video-based Person Re-identification—0
Multi-scale 3D Convolution Network for Video Based Person Re-Identification—0
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification—0
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
Video-based Person Re-identification Using Spatial-Temporal Attention NetworksCode0
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings—0
Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild—0
Deep Association Learning for Unsupervised Video Person Re-identificationCode0
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification—0
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification—0
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