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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 1–50 of 117 papers

TitleStatusHype
Video-based Person Re-identification with Spatial and Temporal Memory NetworksCode1
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identificationCode1
Keypoint Message Passing for Video-based Person Re-IdentificationCode1
Video-based Person Re-identification without Bells and WhistlesCode1
A Benchmark of Video-Based Clothes-Changing Person Re-IdentificationCode1
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-IdentificationCode1
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-IdentificationCode1
Aerial-Ground Person Re-IDCode1
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identificationCode1
MEVID: Multi-view Extended Videos with Identities for Video Person Re-IdentificationCode1
Appearance-Preserving 3D Convolution for Video-based Person Re-identificationCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time AspectCode1
Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-IdentificationCode1
Salient-to-Broad Transition for Video Person Re-IdentificationCode1
Video Person Re-ID: Fantastic Techniques and Where to Find ThemCode1
Learning Multi-Granular Hypergraphs for Video-Based Person Re-IdentificationCode1
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation ApproachCode1
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Dense Interaction Learning for Video-based Person Re-identification—0
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification—0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach—0
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification—0
Deep Learning for Video-based Person Re-Identification: A Survey—0
Diversity Regularized Spatiotemporal Attention 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
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration—0
Learning adaptively from the unknown for few-example video person re-ID—0
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification—0
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification—0
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone 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
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification—0
GAN-based Pose-aware Regulation for Video-based Person Re-identification—0
Global-Local Temporal Representations For Video Person Re-Identification—0
Multi-Granularity Graph Pooling for Video-based Person Re-Identification—0
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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