This project collects related papers for person re-identification. (to be continued)
Unsupervised Person Image Synthesis in Arbitrary Poses
Exploit the Unknown Gradually One-Shot Video-Based Person Re-Identification by Stepwise Learning
Exploiting Transitivity for Learning Person Re-identification Models on a Budget
Resource Aware Person Re-identification across Multiple Resolutions
Person Re-identification with Cascaded Pairwise Convolutions
Human Semantic Parsing for Person Re-identification
Efficient and Deep Person Re-Identification using Multi-Level Similarity
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Multi-Level Factorisation Net for Person Re-Identification
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
Pose Transferrable Person Re-Identification
Harmonious Attention Network for Person Re-Identification
Camera Style Adaptation for Person Re-identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach
Multi-shot Pedestrian Re-identification via Sequential Decision Making
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Disentangled Person Image Generation
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
Deep Mutual Learning
(no download link)
Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification
Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding
Mask-guided Contrastive Attention Model for Person Re-Identification
Attention-aware Compositional Network for Person Re-Identification
Deep Group-shuffling Random Walk for Person Re-identification
Adversarially Occluded Samples For Improving Generalization of Person Re-identification Models
Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints
Eliminating Background-bias for Robust Person Re-identification
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Multiple People Tracking by Lifted Multicut and Person Re-Identification
One-Shot Metric Learning for Person Re-Identification
Person Re-Identification in the Wild
Scalable Person Re-Identification on Supervised Smoothed Manifold
Re-Ranking Person Re-Identification With k-Reciprocal Encoding
Spindle Net_ Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion
Beyond Triplet Loss_ A Deep Quadruplet Network for Person Re-Identification
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network
See the Forest for the Trees_ Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification
Joint Registration and Representation Learning for Unconstrained Face Identification
Deeply-Learned Part-Aligned Representations for Person Re-Identification
Pose-Driven Deep Convolutional Model for Person Re-Identification
Multi-Scale Deep Learning Architectures for Person Re-Identification
RGB-Infrared Cross-Modality Person Re-Identification
Dynamic Label Graph Matching for Unsupervised Video Re-Identification
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification
Unlabeled Samples Generated by GAN Improve the Person Re-Identification Baseline in Vitro
Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification
A Two Stream Siamese Convolutional Neural Network for Person Re-Identification
SHaPE_ A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems
Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching
Top-Push Video-Based Person Re-Identification
Recurrent Convolutional Network for Video-Based Person Re-Identification
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification
Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification
Sample-Specific SVM Learning for Person Re-Identification
Similarity Learning With Spatial Constraints for Person Re-Identification
Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification
Learning a Discriminative Null Space for Person Re-identification
Recurrent Attention Models for Depth-Based Person Identification
Learning to Rank in Person Re-Identification With Metric Ensembles
Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning
Transferring a Semantic Representation for Person Re-Identification and Search
An Improved Deep Learning Architecture for Person Re-Identification
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning
Query-Adaptive Late Fusion for Image Search and Person Re-Identification
cvpr-215 Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis
Partial Person Re-Identification
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification
Multi-Scale Learning for Low-Resolution Person Re-Identification
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification
Person Re-Identification With Correspondence Structure Learning
Scalable Person Re-identification- A Benchmark