manjunath5496/Person-Reidentification-Papers

"Healthy citizens are the greatest asset any country can have."― Winston S. Churchill

Person Reidentification Papers

• Person Re-identification in Appearance Impaired Scenarios
• Person Re-identification: Past, Present and Future
• Learning Compact Appearance Representation for Video-based Person Re-Identification
• Unsupervised Person Re-identification: Clustering and Fine-tuning
• Swiss-System Based Cascade Ranking for Gait-Based Person Re-identification
• Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
• Appearance-Preserving 3D Convolution for Video-based Person Re-identification
• Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
• Identity-Guided Human Semantic Parsing for Person Re-Identification
• Character Grounding and Re-Identification in Story of Videos and Text Descriptions
• Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
• Simulating Content Consistent Vehicle Datasets with Attribute Descent
• Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
• Global Distance-distributions Separation for Unsupervised Person Re-identification
• Faster Person Re-Identification
• Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
• Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?
• Robust Re-Identification by Multiple Views Knowledge Distillation
• Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
• Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification
• Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
• Online Multi-modal Person Search in Videos
• ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
• Symbiotic Adversarial Learning for Attribute-based Person Search
• READ: Reciprocal Attention Discriminator for Image-to-Video Re-Identification
• The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
• Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup
• Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
• Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
• Temporal Complementary Learning for Video Person Re-Identification
• XingGAN for Person Image Generation
• Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification
• Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
• An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification
• Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes
• Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
• Deep Constrained Dominant Sets for Person Re-Identification
• Re-ranking via Metric Fusion for Object Retrieval and Person Re-identification
• Scalable Person Re-identification on Supervised Smoothed Manifold
• One-Shot Metric Learning for Person Re-identification
• SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-based Decisions in Person Re-identification Systems
• Multi-Level Factorisation Net for Person Re-Identification
• ABD-Net: Attentive but Diverse Person Re-Identification
• Beyond triplet loss: a deep quadruplet network for person re-identification
• Deep Meta Metric Learning
• Fast Person Re-identification via Cross-camera Semantic Binary Transformation
• Group Consistent Similarity Learning via Deep CRF for Person Re-Identification
• Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
• Mixed High-Order Attention Network for Person Re-Identification
• Norm-Aware Embedding for Efficient Person Search
• Salience-Guided Cascaded Suppression Network for Person Re-identification
• Self-Critical Attention Learning for Person Re-Identification
• Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding
• Inter-Task Association Critic for Cross-Resolution Person Re-Identification
• Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification
• Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
• Vehicle Re-identification with Viewpoint-aware Metric Learning
• A Two Stream Siamese Convolutional Neural Network For Person Re-Identification
• Batch DropBlock Network for Person Re-identification and Beyond
• Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
• Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
• Person Search via A Mask-Guided Two-Stream CNN Model
• Bi-directional Interaction Network for Person Search
• Instance Guided Proposal Network for Person Search
• Person Search by Text Attribute Query as Zero-Shot Learning
• GaitPart: Temporal Part-based Model for Gait Recognition
• Learning Longterm Representations for Person Re-Identification Using Radio Signals
• Bilinear Attention Networks for Person Retrieval
• Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
• Pose-guided Visible Part Matching for Occluded Person ReID
• Temporal Knowledge Propagation for Image-to-Video Person Re-identification
• Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
• Efficient and Deep Person Re-Identification using Multi-Level Similarity
• Re-ID Driven Localization Refinement for Person Search
• Recurrent Attention Models for Depth-Based Person Identification
• Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
• Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
• Part-regularized Near-duplicate Vehicle Re-identification
• Interaction-and-Aggregation Network for Person Re-identification
• VRSTC: Occlusion-Free Video Person Re-Identification
• Adversarially Occluded Samples for Person Re-identification
• Real-world Person Re-Identification via Degradation Invariance Learning
• SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
• Style Normalization and Restitution for Generalizable Person Re-identification
• Cross-Modal Cross-Domain Moment Alignment Network for Person Search
• Human Semantic Parsing for Person Re-identification
• A Dual-Path ModelWith Adaptive Attention For Vehicle Re-Identification
• Pose-Aware Person Recognition
• Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
• Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
• Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features
• Global-Local Temporal Representations For Video Person Re-Identification
• Harmonious Attention Network for Person Re-Identification
• Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
• Person Search with Natural Language Description
• Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
• Consistent-Aware Deep Learning for Person Re-identification in a Camera Network
• Unsupervised Person Re-identification via Softened Similarity Learning
• Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
• A Spatio-temporal Appearance Representation For Video-based Pedestrian Re-identification
• Adaptive Transfer Network for Cross-Domain Person Re-Identification
• Deep Reinforcement Active Learning for Human-In-The-Loop Person Re-Identification
• Neural Person Search Machines
• Pose Transferrable Person Re-Identification
• Stepwise Metric Promotion for Unsupervised Video Person Re-identification
• Unity Style Transfer for Person Re-Identification
• View Confusion Feature Learning for Person Re-identification
• VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
• Cross-modality Person re-identification with Shared-Specific Feature Transfer
• Spectral Feature Transformation for Person Re-Identification
• Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
• Disentangled Person Image Generation
• Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild
• Controllable Person Image Synthesis with Attribute-Decomposed GAN
• Parsing-based View-aware Embedding Network for Vehicle Re-Identification
• Weakly Supervised Person Re-Identification
• Pose-Guided Feature Alignment for Occluded Person Re-Identification
• Unsupervised Person Re-identification by Deep Learning Tracklet Association
• Query-guided End-to-End Person Search
• Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements
• Gait-based Person Re-identification: a Survey
• Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification
• Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
• A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
• Multi-scale Deep Learning Architectures for Person Re-identification
• Person Search in Videos with One Portrait Through Visual and Temporal Links
• Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification
• Deep Image Spatial Transformation for Person Image Generation
• Features for Multi-Target Multi-Camera Tracking and Re-Identification
• Exploiting Transitivity for Learning Person Re-identification Models on a Budget
• Hard-Aware Point-to-Set Deep Metric for Person Re-identification
• A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
• Deep Group-shuffling Random Walk for Person Re-identification
• End-to-End Deep Kronecker-Product Matching for Person Re-identification
• Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment
• Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
• Domain Adaptation through Synthesis for Unsupervised Person Re-identification
• Generalizable Person Re-identification by Domain-Invariant Mapping Network
• Mask-guided Contrastive Attention Model for Person Re-Identification
• Unsupervised Person Image Generation with Semantic Parsing Transformation
• Pose-driven Deep Convolutional Model for Person Re-identification
• Co-segmentation Inspired Attention Networks for Video-based Person Re-identification
• Dissecting Person Re-identification from the Viewpoint of Viewpoint
• MVP Matching: A Maximum-value Perfect Matching for Mining Hard Samples, with Application to Person Re-identification
• Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
• Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification
• CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
• Multiple People Tracking by Lifted Multicut and Person Re-identification
• PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
• AANet: Attribute Attention Network for Person Re-Identifications
• Eliminating Background-bias for Robust Person Re-identification
• advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
• High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
• Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
• Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
• Person Re-identification with Cascaded Pairwise Convolutions
• Re-Identification Supervised Texture Generation
• Resource Aware Person Re-identification across Multiple Resolutions
• RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
• Smoothing Adversarial Domain Attack and p-Memory Reconsolidation for Cross-Domain Person Re-Identification
• TCTS: A Task-Consistent Two-stage Framework for Person Search
• Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
• Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
• Unsupervised Person Re-identification via Multi-label Classification
• Vehicle Re-identification in Aerial Imagery: Dataset and Approach
• Person Re-identification by Video Ranking
• Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
• MISC: Multi-condition Injection and Spatially-adaptive Compositing for Conditional Person Image Synthesis
• Distilled Person Re-identification: Towards a More Scalable System
• Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
• RGB-Infrared Cross-Modality Person Re-Identification
• Unsupervised Graph Association for Person Re-identification
• Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning
• Second-order Non-local Attention Networks for Person Re-identification
• Adversarial Open-World Person Re-Identiication
• Joint Detection and Identification Feature Learning for Person Search
• RCAA: Relational Context-Aware Agents for Person Search
• Attention-Aware Compositional Network for Person Re-identification
• Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
• Person Search by Multi-Scale Matching
• Pose-Normalized Image Generation for Person Re-identification
• Learning Context Graph for Person Search
• Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
• Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
• Spatial-Temporal Graph Convolutional Network for Video-based Person Re-identification
• Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification
• Person Re-identification with Deep Similarity-Guided Graph Neural Network
• Dynamic Label Graph Matching for Unsupervised Video Re-Identification
• Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
• COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
• Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification
• Robust Person Re-identification by Modelling Feature Uncertainty
• Unsupervised Person Re-identification by Soft Multilabel Learning
• Weakly Supervised Discriminative Feature Learning with State Information for Person Identification
• Part-Aligned Bilinear Representations for Person Re-identification
• Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification
• AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
• Densely Semantically Aligned Person Re-Identification
• Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification
• Multi-shot Pedestrian Re-identification via Sequential Decision Making
• Relation-Aware Global Attention for Person Re-identification
• Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
• Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
• Deeply-Learned Part-Aligned Representations for Person Re-Identification
• Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion
• Joint Discriminative and Generative Learning for Person Re-identification
• Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras
• Person Re-identification in the Wild
• Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
• Re-Identification with Consistent Attentive Siamese Networks
• Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
• Camera Style Adaptation for Person Re-identification
• Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
• Re-ranking Person Re-identification with k-reciprocal Encoding
• Robust Partial Matching for Person Search in the Wild
• Discriminative Feature Learning with Consistent Attention Regularization for Person Re-identification
• Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints
• Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification
• Omni-Scale Feature Learning for Person Re-Identification
• Online Joint Multi-Metric Adaptation from Frequent Sharing-Subset Mining for Person Re-Identification
• Point to Set Similarity Based Deep Feature Learning for Person Re-identification
• See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-based Person Re-identification
• Text Guided Person Image Synthesis
• Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification
• Progressive Pose Attention Transfer for Person Image Generation
• Generalizing A Person Retrieval Model Hetero- and Homogeneously