This is a repository for organizing articles related to person re-identification. Most papers are linked to the pdf address provided by "arXiv" or "Openaccess". However, some papers require an academic license to browse. For example, IEEE, springer, and elsevier journal, etc.
Other awesome re-identification
People who meet the following criteria are free to request a pull (pull request).
- Suggestions for new categories
- Changes to categories for some articles
- Corrections to the statistical tables
- Additions of a summary or performance
I am currently studying as a visiting researcher at Carnegie Mellon University. So please email me if you are interested in collaborative research among those interested in re-identification in Pittsburgh or another city in the United States.
My person re-identification paper accepted to CVPR2020! See you in Seattle!
- Feel free to visit my homepage
- Check the paper at open access
I plan to receive a doctoral degree in Dec. 2020 or Jun. 2021. I'm currently looking for a full-time job, residency program, or post-doc.
- Feel free to visit my linkedin
- This repository was created.
- [StanfordCars] 3D Object Representations for Fine-Grained Categorization (ICCV2013) [paper]
- [CompCars] A Large-Scale Car Dataset for Fine-Grained Categorization and Verification (CVPR2015) [paper]
- [VeRi-776] A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (ECCV2016) [paper]
- [VehicleReId] Vehicle Re-Identification for Automatic Video Traffic Surveillance (CVPR2016) [paper]
- [PKU-VehicleID] Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles (CVPR2016) [paper]
- [PKU-VD] Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles (ICCV2017) [paper]
- [PKU-Vehicle] Group-Sensitive Triplet Embedding for Vehicle Reidentification (TMM2018) [paper]
- [Vehicle-1M] Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification (AAAI2018) [paper]
- [VRIC] Vehicle Re-Identification in Context (GCPR2018) [paper]
- [VERI-Wild] A Large Dataset and a New Method for Vehicle Re-Identification in the Wild (CVPR2019) [paper]
- [CityFlow] A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification (CVPR2019) [paper]
- [VehicleX] PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data (ICCV2019) [paper]
- [VRAI] Vehicle Re-identification in Aerial Imagery: Dataset and Approach (ICCV2019) [paper]
- [VehicleX] Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV2020) [paper]
2016
- Large-Scale Vehicle Re-identification in Urban Surveillance Videos (ICME2016) [paper]
- A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (ECCV2016) [paper]
2017
- Vehicle Re-identification by Fusing Multiple Deep Neural Networks (IPTA2017) [paper]
- Beyond Human-level License Plate Super-resolution with Progressive Vehicle Search and Domain Priori GAN (ACMMM2017) [paper]
- Multi-modal Metric Learning for Vehicle Re-identification in Traffic Surveillance Environment (ICIP2017) [paper]
- Improving Triplet-wise Training of Convolutional Neural Network for Vehicle Re-identification (ICME2017) [paper]
- Cross-View GAN Based Vehicle Generation for Re-identification (BMVC2017) [paper]
- Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals (ICCV2017) [paper]
- Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification (ICCV2017) [paper] [github]
2018
- RAM: A Region-Aware Deep Model for Vehicle Re-identification (ICME2018) [paper] [github]
- Multi-Attribute Driven Vehicle Re-Identification with Spatial-Temporal Re-Ranking (ICIP2018) [paper]
- Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification (ICPR2018) [paper]
- VP-ReID: vehicle and person re-identification system (ICMR2018) [paper]
- Vehicle re-identification by adversarial bi-directional LSTM network (WACV2018) [paper]
- Fast Vehicle Identification via Ranked Semantic Sampling based Embedding (IJCAI2018) [paper]
- Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification (CVPR2018) [paper] [github]
2019
- Part-Regularized Near-Duplicate Vehicle Re-Identification (CVPR2019) [paper]
- A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification (ICCV2019) [paper] [github]
- Vehicle Re-Identification With Viewpoint-Aware Metric Learning (ICCV2019) [paper]
2020
- The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification (ECCV2020) [paper]
- Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network (ECCV2020) [paper]
- Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification (CVPR2020) [paper]
- Disentangled Feature Learning Network for Vehicle Re-Identification (IJCAI2020) [paper]
2018
- PROVID: Progressive and Multimodal Vehicle Re-identification for Large-Scale Urban Surveillance (TMM2018) [paper] [github]
- Joint Feature and Similarity Deep Learning for Vehicle Re-identification (IEEE ACCESS 2018) [paper]
- Vehicle Re-Identification by Deep Hidden Multi-View Inference (TIP2018) [paper]
2019
- Embedding Adversarial Learning for Vehicle Re-Identification (TIP2019) [paper] [github]
- VR-PROUD: Vehicle Re-identification using Progressive Unsupervised Deep Architecture (PR2019) [paper]
- Vehicle Re-Identification Using Quadruple Directional Deep Learning Features (TITS2019) [paper]
2020
- VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification (TMM2020) [paper]
2017
- Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning (BMVCW 2017) [paper]
- Deep Hashing with Multi-task Learning for Large-Scale Instance-Level Vehicle Search (ICMEW 2017) [paper]
2018
- [AIC 2018] (CVPRW2018)
- Vehicle Re-Identification With the Space-Time Prior [paper] [github]
- Unsupervised Vehicle Re-Identification Using Triplet Networks [paper] [github]
- Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation based on Fusion of Visual and Semantic Features [paper] [github]
- Video Analytics in Smart Transportation for the AIC’18 Challenge [paper]
- Graph@FIT Submission to the NVIDIA AI City Challenge 2018 [paper]
- Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection [paper]
2019
- [AIC 2019] (CVPRW2019)
- (Rank-1) Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features [paper] [github]
- (Rank-2) Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking [paper] [github]
- (Rank-3) Vehicle Re-identification with Location and Time Stamps [paper] [github]
- (Rank-4) VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification [paper]
- (Rank-5) Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue [paper] [github]
- (Rank-8) Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding [paper]
- (Rank-13) Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [paper]
- (Rank-18) Supervised Joint Domain Learning for Vehicle Re-Identification [paper]
- (Rank-19) Vehicle Re-Identification: Pushing the limits of re-identification [paper]
- (Rank-23) Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019 [paper]
- (Rank-25) Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis [paper] [github]
- (Rank-36) Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification [paper]
- (Rank-45) Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment [paper]
- (Rank-50) AI City Challenge 2019 – City-Scale Video Analytics for Smart Transportation [paper] [github]
- (Rank-51) Multi-Task Mutual Learning for Vehicle Re-Identification [paper]
- (Rank-54) Comparative Study of Various Losses for Vehicle Re-identification [paper]
2020
- [AIC 2020] (CVPRW2020)
- (Rank-1) Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-Identification [paper] [github]
- (Rank-2) VOC-ReID: Vehicle Re-Identification Based on Vehicle-Orientation-Camera [paper] [github]
- (Rank-3) Multi-Domain Learning and Identity Mining for Vehicle Re-Identification [paper] [github]
- (Rank-4) Large Scale Vehicle Re-Identification by Knowledge Transfer From Simulated Data and Temporal Attention [paper] [github]
- (Rank-7) Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection [paper]
- (Rank-15) Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification [paper]
- (Rank-19) Further Non-Local and Channel Attention Networks for Vehicle Re-Identification [paper]
- (Rank-20) Dual Embedding Expansion for Vehicle Re-Identification [paper]
- (Rank-26) iTASK - Intelligent Traffic Analysis Software Kit [paper] [github]
- (Rank-27) StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification [paper]
- (Rank-30) Vehicle Re-Identification in Multi-Camera Scenarios Based on Ensembling Deep Learning Features [paper]
- (General) Vehicle Re-Identification Based on Complementary Features [paper] [github]
- (General) Attribute-Guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-Identification [paper] [github]
- (General) AI City Challenge 2020 - Computer Vision for Smart Transportation Applications [paper]
- Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [paper]
- Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks [paper] [github]
- Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification [paper]
- Attributes Guided Feature Learning for Vehicle Re-identification [paper] [github]
- BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition (CVPR2016) [paper]
- Background Segmentation for Vehicle Re-Identification [paper]
- CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles (CVPR2018) [paper]
- Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery (ICCV2019) [paper]
- Highway Vehicle Counting in Compressed Domain (CVPR2016) [paper]
- Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image (CVPR2017) [paper]
- FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras (ICCV2017) [paper]
- Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach (ICCV2019) [paper]
- Joint Monocular 3D Vehicle Detection and Tracking (ICCV2019) [paper]
- Self-supervised Moving Vehicle Tracking with Stereo Sound (ICCV2019) [paper]
- https://github.com/Jakel21/vehicle-ReID-baseline
- https://github.com/NVIDIAAICITYCHALLENGE/2018AICITY_Beihang