Person Re-identification / Person Retrieval

DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification

• intro: CVPR 2014
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Li_DeepReID_Deep_Filter_2014_CVPR_paper.pdf

An Improved Deep Learning Architecture for Person Re-Identification

• intro: CVPR 2015
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf
• github: https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID

Deep Ranking for Person Re-identification via Joint Representation Learning

• intro: IEEE Transactions on Image Processing (TIP), 2016
• arxiv: https://arxiv.org/abs/1505.06821

PersonNet: Person Re-identification with Deep Convolutional Neural Networks

• arxiv: http://arxiv.org/abs/1601.07255

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

• intro: CVPR 2016
• arxiv: https://arxiv.org/abs/1604.07528
• github: https://github.com/Cysu/dgd_person_reid

Person Re-Identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

• intro: CVPR 2016
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf

End-to-End Comparative Attention Networks for Person Re-identification

https://arxiv.org/abs/1606.04404

A Multi-task Deep Network for Person Re-identification

• arxiv: http://arxiv.org/abs/1607.05369

Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification

• arxiv: http://arxiv.org/abs/1607.08378

A Siamese Long Short-Term Memory Architecture for Human Re-Identification

• arxiv: http://arxiv.org/abs/1607.08381

Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification

• arxiv: https://arxiv.org/abs/1607.08378

Person Re-identification: Past, Present and Future

https://arxiv.org/abs/1610.02984

Deep Learning Prototype Domains for Person Re-Identification

• arxiv: https://arxiv.org/abs/1610.05047

Deep Transfer Learning for Person Re-identification

• arxiv: https://arxiv.org/abs/1611.05244

Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification

• arxiv: https://arxiv.org/abs/1702.04179

Improving Person Re-identification by Attribute and Identity Learning

https://arxiv.org/abs/1703.07220

In Defense of the Triplet Loss for Person Re-Identification

• arxiv: https://arxiv.org/abs/1703.07737
• github: https://github.com/VisualComputingInstitute/triplet-reid

Beyond triplet loss: a deep quadruplet network for person re-identification

• intro: CVPR 2017
• arxiv: https://arxiv.org/abs/1704.01719

Part-based Deep Hashing for Large-scale Person Re-identification

• intro: IEEE Transactions on Image Processing, 2017
• arxiv: https://arxiv.org/abs/1705.02145

Deep Person Re-Identification with Improved Embedding

https://arxiv.org/abs/1705.03332

Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters

• arxiv: https://arxiv.org/abs/1705.04608
• github: https://github.com/VisualComputingInstitute/towards-reid-tracking

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

• intro: IJCAI 2017
• arxiv: https://arxiv.org/abs/1705.04724

Attention-based Natural Language Person Retrieval

• intro: CVPR 2017 Workshop (vision meets cognition)
• keywords: Bidirectional Long Short- Term Memory (BLSTM)
• arxiv: https://arxiv.org/abs/1705.08923

Unsupervised Person Re-identification: Clustering and Fine-tuning

• arxiv: https://arxiv.org/abs/1705.10444
• github: https://github.com/hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning

Deep Representation Learning with Part Loss for Person Re-Identification

https://arxiv.org/abs/1707.00798

Pedestrian Alignment Network for Large-scale Person Re-identification

• arxiv: https://arxiv.org/abs/1707.00408
• github: https://github.com/layumi/Pedestrian_Alignment

Deep Reinforcement Learning Attention Selection for Person Re-Identification

https://arxiv.org/abs/1707.02785

Learning Efficient Image Representation for Person Re-Identification

https://arxiv.org/abs/1707.02319

Person Re-identification Using Visual Attention

• intro: ICIP 2017
• arxiv: https://arxiv.org/abs/1707.07336

Deeply-Learned Part-Aligned Representations for Person Re-Identification

• intro: ICCV 2017
• arxiv: https://arxiv.org/abs/1707.07256

What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

https://arxiv.org/abs/1707.07074

Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification

https://arxiv.org/abs/1707.07791

Divide and Fuse: A Re-ranking Approach for Person Re-identification

• intro: BMVC 2017
• arxiv: https://arxiv.org/abs/1708.04169

Person Search

End-to-End Deep Learning for Person Search

Joint Detection and Identification Feature Learning for Person Search

• intro: CVPR 2017
• keywords: Online Instance Matching (OIM) loss function
• homepage(dataset+code):http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html
• arxiv: https://arxiv.org/abs/1604.01850
• paper: http://www.ee.cuhk.edu.hk/~xgwang/PS/paper.pdf
• github(official. Caffe): https://github.com/ShuangLI59/person_search

Person Re-identification in the Wild

• intro: CVPR 2017 spotlight
• keywords: PRW dataset
• project page: http://www.liangzheng.com.cn/Project/project_prw.html
• arxiv: https://arxiv.org/abs/1604.02531
• github: https://github.com/liangzheng06/PRW-baseline

IAN: The Individual Aggregation Network for Person Search

https://arxiv.org/abs/1705.05552

Neural Person Search Machines

• intro: ICCV 2017
• arxiv: https://arxiv.org/abs/1707.06777

Vehicle Re-ID

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals

• intro: ICCV 2017
• arxiv: https://arxiv.org/abs/1708.03918

Deep Metric Learning

Deep Metric Learning for Person Re-Identification

• intro: ICPR 2014
• paper: http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf

Deep Metric Learning for Practical Person Re-Identification

https://arxiv.org/abs/1407.4979

Constrained Deep Metric Learning for Person Re-identification

https://arxiv.org/abs/1511.07545

Video-based Person Re-Identification

Recurrent Convolutional Network for Video-based Person Re-Identification

• intro: CVPR 2016
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf
• github: https://github.com/niallmcl/Recurrent-Convolutional-Video-ReID

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach

https://arxiv.org/abs/1606.01609

Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

• intro: ICCV 2017
• arxiv: https://arxiv.org/abs/1708.02286

Projects

Open-ReID: Open source person re-identification library in python

• intro: Open-ReID is a lightweight library of person re-identification for research purpose. It aims to provide a uniform interface for different datasets, a full set of models and evaluation metrics, as well as examples to reproduce (near) state-of-the-art results.
• project page: https://cysu.github.io/open-reid/
• github(PyTorch): https://github.com/Cysu/open-reid
• examples: https://cysu.github.io/open-reid/examples/training_id.html
• benchmarks: https://cysu.github.io/open-reid/examples/benchmarks.html

caffe-PersonReID

• intro: Person Re-Identification: Multi-Task Deep CNN with Triplet Loss
• gtihub: https://github.com/agjayant/caffe-Person-ReID

Talks

1st Workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking

https://reid-mct.github.io/