Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/bismex/Awesome-person-re-identification
Awesome Person Re-identification
https://github.com/bismex/Awesome-person-re-identification
List: Awesome-person-re-identification
awesome awesome-list awesome-reid cross-modality-person gait identification person-identification person-re-identification person-recognition person-reid person-reidentification person-retrieval re-id reid reidentification vehicle-reid vehicle-reidentification
Last synced: 7 days ago
JSON representation
Awesome Person Re-identification
- Host: GitHub
- URL: https://github.com/bismex/Awesome-person-re-identification
- Owner: bismex
- Created: 2016-08-13T03:37:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-10-30T04:22:23.000Z (about 1 year ago)
- Last Synced: 2024-05-23T07:29:16.069Z (5 months ago)
- Topics: awesome, awesome-list, awesome-reid, cross-modality-person, gait, identification, person-identification, person-re-identification, person-recognition, person-reid, person-reidentification, person-retrieval, re-id, reid, reidentification, vehicle-reid, vehicle-reidentification
- Homepage:
- Size: 256 KB
- Stars: 1,109
- Watchers: 49
- Forks: 194
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesomeai - Person Re-ID(1)
- awesome-ai-awesomeness - Person Re-ID(1)
- awesome-ai-awesomeness - Person Re-ID(1)
- Awesome-vehicle-re-identification - Awesome Person Re-Identification
- Awesome-cross-modality-person-re-identification - Awesome Person Re-identification
- ultimate-awesome - Awesome-person-re-identification - Awesome Person Re-identification. (Other Lists / PowerShell Lists)
- jimsghstars - bismex/Awesome-person-re-identification - Awesome Person Re-identification (Others)
README
# Awesome Person Re-identification (Person ReID) [](https://github.com/sindresorhus/awesome)
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.
### About Me
- I am a proactive researcher with a solid background in computer vision and machine learning. During my PhD, I conducted profound research on person re-identification and published several papers in top-tier conferences. Additionally, I maintain a GitHub repository summarizing articles on person re-identification. After completing my PhD, I have been expanding my research into various topics, including domain generation and generative AI. Feel free to visit my **[personal homepage](https://sites.google.com/site/seokeonchoi/)**
### :high_brightness: Other awesome re-identification
- [Awesome Cross-Modality Person Re-Identification](https://github.com/bismex/Awesome-cross-modality-person-re-identification)
- [Awesome Vehicle Re-Identification](https://github.com/bismex/Awesome-vehicle-re-identification)
### :high_brightness: Other recommended related topics
- Trajectory prediction [[github1](https://github.com/xuehaouwa/Awesome-Trajectory-Prediction)] [[github2](https://github.com/jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction)]
- Multi-camera multi-object tracking (MCMOT) [[github1](https://github.com/luanshiyinyang/awesome-multiple-object-tracking)] [[github2](https://github.com/SherryJYC/paper-MTMC)] [[workshop:AI-city-challange](https://www.aicitychallenge.org/)] [[workshop:MMP-Tracking](https://iccv2021-mmp.github.io/)]
### :high_brightness: Updated 2024-06-17
- I have revised the page to list the most recent conferences at the top.
- CVPR2024, WACV2024, ECCV2023 papers are updated
---
## Statistics
| Conference | Webpage Link | Person Re-ID | Vehicle Re-ID |
|--- |--- |---|---|
| [CVPR2024](#CVPR2024) | [Click](https://openaccess.thecvf.com/CVPR2024) | 17 | 1 |
| [WACV2024](#WACV2024) | [Click](https://openaccess.thecvf.com/WACV2024) | 7 | 0 |
| [ICCV2023](#ICCV2023) | [Click](https://openaccess.thecvf.com/ICCV2023) | 13 | 0 |
| [ACMMM2023](#ACMMM2023) | - | - | - |
| [CVPR2023](#CVPR2023) | [Click](https://openaccess.thecvf.com/CVPR2023) | 11 | 0 |
| [WACV2023](#WACV2023) | [Click](https://openaccess.thecvf.com/WACV2023) | 4 | 0 |
| [ECCV2022](#ECCV2022) | [Click](https://eccv2022.ecva.net/program/accepted-papers/) | 10 | 2 |
| [CVPR2022](#CVPR2022) | [Click](https://openaccess.thecvf.com/CVPR2022) | 23 | 0 |
| [ICCV2021](#ICCV2021) | [Click](https://openaccess.thecvf.com/ICCV2021) | 24 | 2 |
| [CVPR2021](#CVPR2021) | [Click](https://openaccess.thecvf.com/CVPR2021) | 25 | 1 |
| [ECCV2020](#ECCV2020) | [Click](https://eccv2020.eu/accepted-papers/) | 25 | 3 |
| [CVPR2020](#CVPR2020) | [Click](http://openaccess.thecvf.com/CVPR2020.py) | 24 | 1 |
| [ICCV2019](#ICCV2019) | [Click](http://openaccess.thecvf.com/ICCV2019.py) | 33 | 4 |
| [CVPR2019](#CVPR2019) | [Click](http://openaccess.thecvf.com/CVPR2019.py) | 21 | 3 |
| [ECCV2018](#ECCV2018) | [Click](http://openaccess.thecvf.com/ECCV2018.py) | 15 | - |
| [CVPR2018](#CVPR2018) | [Click](http://openaccess.thecvf.com/CVPR2018.py) | 30 | 1 |
| [ICCV2017](#ICCV2017) | [Click](http://openaccess.thecvf.com/ICCV2017.py) | 14 | 1 |
| [CVPR2017](#CVPR2017) | [Click](http://openaccess.thecvf.com/CVPR2017.py) | 14 | - |
---
## Other contents
- [Survey](#survey)
- [Others](#others)
- [Datasets](#datasets)
- [Codes](#codes)
---
## CVPR2024
- ***Person re-identification***
> ###### 1) *"Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Tan_Harnessing_the_Power_of_MLLMs_for_Transferable_Text-to-Image_Person_ReID_CVPR_2024_paper.pdf)] [[github](https://github.com/WentaoTan/MLLM4Text-ReID)]
> ###### 2) *"Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Cui_Learning_Continual_Compatible_Representation_for_Re-indexing_Free_Lifelong_Person_Re-identification_CVPR_2024_paper.pdf)] [[github](https://github.com/PKU-ICST-MIPL/C2R_CVPR2024)]
> ###### 3) *"Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Huang_Attribute-Guided_Pedestrian_Retrieval_Bridging_Person_Re-ID_with_Internal_Attribute_Variability_CVPR_2024_paper.pdf)]
> ###### 4) *"LiDAR-based Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Guo_LiDAR-based_Person_Re-identification_CVPR_2024_paper.pdf)] [[github](https://github.com/GWxuan/ReID3D)]
> ###### 5) *"A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Yang_A_Pedestrian_is_Worth_One_Prompt_Towards_Language_Guidance_Person_CVPR_2024_paper.pdf)]
> ###### 6) *"UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Zuo_UFineBench_Towards_Text-based_Person_Retrieval_with_Ultra-fine_Granularity_CVPR_2024_paper.pdf)] [[github](https://github.com/Zplusdragon/UFineBench)]
> ###### 7) *"Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_Distribution-aware_Knowledge_Prototyping_for_Non-exemplar_Lifelong_Person_Re-identification_CVPR_2024_paper.pdf)] [[github](https://github.com/zhoujiahuan1991/CVPR2024-DKP)]
> ###### 8) *"Noisy-Correspondence Learning for Text-to-Image Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Qin_Noisy-Correspondence_Learning_for_Text-to-Image_Person_Re-identification_CVPR_2024_paper.pdf)] [[github](https://github.com/QinYang79/RDE)]
> ###### 9) *"Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/He_Instruct-ReID_A_Multi-purpose_Person_Re-identification_Task_with_Instructions_CVPR_2024_paper.pdf)] [[github](https://github.com/hwz-zju/Instruct-ReID)]
> ###### 10) *"SEAS: ShapE-Aligned Supervision for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhu_SEAS_ShapE-Aligned_Supervision_for_Person_Re-Identification_CVPR_2024_paper.pdf)]
> ###### 11) *"Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Magic_Tokens_Select_Diverse_Tokens_for_Multi-modal_Object_Re-Identification_CVPR_2024_paper.pdf)] [[github](https://github.com/924973292/EDITOR)]
> ###### 12) *"CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_CA-Jaccard_Camera-aware_Jaccard_Distance_for_Person_Re-identification_CVPR_2024_paper.pdf)] [[github](https://github.com/chen960/CA-Jaccard/)]
> ###### 13) *"All in One Framework for Multimodal Re-identification in the Wild"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_All_in_One_Framework_for_Multimodal_Re-identification_in_the_Wild_CVPR_2024_paper.pdf)]
> ###### 14) *"Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Yang_Shallow-Deep_Collaborative_Learning_for_Unsupervised_Visible-Infrared_Person_Re-Identification_CVPR_2024_paper.pdf)] [[github](https://github.com/yangbincv/SDCL)]
> ###### 15) *"View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_View-decoupled_Transformer_for_Person_Re-identification_under_Aerial-ground_Camera_Network_CVPR_2024_paper.pdf)] [[github](https://github.com/LinlyAC/VDT-AGPReID)]
> ###### 16) *"Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Ren_Implicit_Discriminative_Knowledge_Learning_for_Visible-Infrared_Person_Re-Identification_CVPR_2024_paper.pdf)] [[github](https://github.com/1KK077/IDKL)]
> ###### 17) *"Activity-Biometrics: Person Identification from Daily Activities"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Azad_Activity-Biometrics_Person_Identification_from_Daily_Activities_CVPR_2024_paper.pdf)] [[github](https://github.com/sacrcv/Activity-Biometrics)]
- ***Vehicle re-identification***
> ###### 1) *"Day-Night Cross-domain Vehicle Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_Day-Night_Cross-domain_Vehicle_Re-identification_CVPR_2024_paper.pdf)]
---
## WACV2024
- ***Person re-identification***
> ###### 1) *"Source-Guided Similarity Preservation for Online Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Rami_Source-Guided_Similarity_Preservation_for_Online_Person_Re-Identification_WACV_2024_paper.pdf)] [[github](https://github.com/ramiMMhamza/S2P)]
> ###### 2) *"ShARc: Shape and Appearance Recognition for Person Identification In-the-wild"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Zhu_ShARc_Shape_and_Appearance_Recognition_for_Person_Identification_In-the-Wild_WACV_2024_paper.pdf)]
> ###### 3) *"Enhancing Diverse Intra-identity Representation for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Kim_Enhancing_Diverse_Intra-Identity_Representation_for_Visible-Infrared_Person_Re-Identification_WACV_2024_paper.pdf)]
> ###### 4) *"Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Nguyen_Contrastive_Viewpoint-Aware_Shape_Learning_for_Long-Term_Person_Re-Identification_WACV_2024_paper.pdf)] [[github](https://github.com/jurgendn/CVSL_LReID)]
> ###### 5) *"HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Nikhal_HashReID_Dynamic_Network_With_Binary_Codes_for_Efficient_Person_Re-Identification_WACV_2024_paper.pdf)]
> ###### 6) *"Privacy-Enhancing Person Re-identification Framework – A Dual-Stage Approach"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Kansal_Privacy-Enhancing_Person_Re-Identification_Framework_-_A_Dual-Stage_Approach_WACV_2024_paper.pdf)]
> ###### 7) *"Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Li_Mitigate_Domain_Shift_by_Primary-Auxiliary_Objectives_Association_for_Generalizing_Person_WACV_2024_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"DDAM-PS: Diligent Domain Adaptive Mixer for Person Search"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Almansoori_DDAM-PS_Diligent_Domain_Adaptive_Mixer_for_Person_Search_WACV_2024_paper.pdf)] [[github](https://github.com/mustansarfiaz/DDAM-PS)]
- ***Object re-identification***
> ###### 1) *"SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Adam_SeaTurtleID2022_A_Long-Span_Dataset_for_Reliable_Sea_Turtle_Re-Identification_WACV_2024_paper.pdf)]
> ###### 2) *"Object Re-Identification from Point Clouds"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Therien_Object_Re-Identification_From_Point_Clouds_WACV_2024_paper.pdf)] [[github](https://github.com/bentherien/point-cloud-reid)]
> ###### 3) *"ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification"* [[paper]([https://openaccess.thecvf.com/content/WACV2024/papers/Therien_Object_Re-Identification_From_Point_Clouds_WACV_2024_paper.pdf](https://openaccess.thecvf.com/content/WACV2024/papers/Gorlo_ISAR_A_Benchmark_for_Single-_and_Few-Shot_Object_Instance_Segmentation_WACV_2024_paper.pdf))]
> ###### 4) *"WildlifeDatasets: An open-source toolkit for animal re-identification"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Cermak_WildlifeDatasets_An_Open-Source_Toolkit_for_Animal_Re-Identification_WACV_2024_paper.pdf)] [[github](https://github.com/WildlifeDatasets/wildlife-datasets)]
> ###### 5) *"Computer Vision on the Edge: Individual Cattle Identification in Real-time with ReadMyCow System"* [[paper](https://openaccess.thecvf.com/content/WACV2024/papers/Smink_Computer_Vision_on_the_Edge_Individual_Cattle_Identification_in_Real-Time_WACV_2024_paper.pdf)]
---
## ICCV2023
- ***Person re-identification***
> ###### 1) *"Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Dou_Identity-Seeking_Self-Supervised_Representation_Learning_for_Generalizable_Person_Re-Identification_ICCV_2023_paper.pdf)] [[github](https://github.com/dcp15/ISR_ICCV2023_Oral)]
> ###### 2) *"Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Liu_Learning_Clothing_and_Pose_Invariant_3D_Shape_Representation_for_Long-Term_ICCV_2023_paper.pdf)] [[github](https://github.com/liufeng2915/3DInvarReID)]
> ###### 3) *"Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Yang_Towards_Grand_Unified_Representation_Learning_for_Unsupervised_Visible-Infrared_Person_Re-Identification_ICCV_2023_paper.pdf)] [[github](https://github.com/yangbincv/GUR)]
> ###### 4) *"A Long-Term Person Re-Identification Benchmark with Clothes Change"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Xu_DeepChange_A_Long-Term_Person_Re-Identification_Benchmark_with_Clothes_Change_ICCV_2023_paper.pdf)] [[github](https://github.com/PengBoXiangShang/deepchange)]
> ###### 5) *"Discrepant and Multi-instance Proxies for Unsupervised Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Zou_Discrepant_and_Multi-Instance_Proxies_for_Unsupervised_Person_Re-Identification_ICCV_2023_paper.pdf)]
> ###### 6) *"Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Fang_Visible-Infrared_Person_Re-Identification_via_Semantic_Alignment_and_Affinity_Inference_ICCV_2023_paper.pdf)] [[github](https://github.com/xiaoye-hhh/SAAI)]
> ###### 7) *"Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Wu_Learning_Concordant_Attention_via_Target-aware_Alignment_for_Visible-Infrared_Person_Re-identification_ICCV_2023_paper.pdf)]
> ###### 8) *"Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Shao_Unified_Pre-Training_with_Pseudo_Texts_for_Text-To-Image_Person_Re-Identification_ICCV_2023_paper.pdf)] [[github](https://github.com/ZhiyinShao-H/UniPT)]
> ###### 9) *"Modality Unifying Network for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Yu_Modality_Unifying_Network_for_Visible-Infrared_Person_Re-Identification_ICCV_2023_paper.pdf)]
> ###### 10) *"Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Lee_Camera-Driven_Representation_Learning_for_Unsupervised_Domain_Adaptive_Person_Re-identification_ICCV_2023_paper.pdf)] [[github](https://cvlab.yonsei.ac.kr/projects/CaCL/)]
> ###### 11) *"Part-Aware Transformer for Generalizable Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Ni_Part-Aware_Transformer_for_Generalizable_Person_Re-identification_ICCV_2023_paper.pdf)] [[github](https://github.com/liyuke65535/Part-Aware-Transformer)]
> ###### 12) *"Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Shi_Dual_Pseudo-Labels_Interactive_Self-Training_for_Semi-Supervised_Visible-Infrared_Person_Re-Identification_ICCV_2023_paper.pdf)] [[github](https://github.com/XiangboYin/DPIS_SSVI-ReID)]
> ###### 13) *"Person Re-Identification without Identification via Event Anonymization"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Ahmad_Person_Re-Identification_without_Identification_via_Event_anonymization_ICCV_2023_paper.pdf)] [[github](https://github.com/IIT-PAVIS/ReId_without_Id)]
- ***Person search (detection + re-id)***
> ###### 1) *"Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search"* [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Wang_Self-similarity_Driven_Scale-invariant_Learning_for_Weakly_Supervised_Person_Search_ICCV_2023_paper.pdf)] [[github](https://github.com/Wangbenzhi/SSL)]
---
## ACMMM2023
- ***Person search (language or attribute)***
> ###### 1) *"Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark"* [[paper](https://zdzheng.xyz/files/MM23_Yang.pdf)] [[github](https://github.com/Shuyu-XJTU/APTM)]
---
## CVPR2023
- ***Person re-identification***
> ###### 1) *"Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_Diverse_Embedding_Expansion_Network_and_Low-Light_Cross-Modality_Benchmark_for_Visible-Infrared_CVPR_2023_paper.pdf)]
> ###### 2) *"PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_PHA_Patch-Wise_High-Frequency_Augmentation_for_Transformer-Based_Person_Re-Identification_CVPR_2023_paper.pdf)]
> ###### 3) *"Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Feng_Shape-Erased_Feature_Learning_for_Visible-Infrared_Person_Re-Identification_CVPR_2023_paper.pdf)]
> ###### 4) *"TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Rao_TranSG_Transformer-Based_Skeleton_Graph_Prototype_Contrastive_Learning_With_Structure-Trajectory_Prompted_CVPR_2023_paper.pdf)]
> ###### 5) *"PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Kim_PartMix_Regularization_Strategy_To_Learn_Part_Discovery_for_Visible-Infrared_Person_CVPR_2023_paper.pdf)]
> ###### 6) *"Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Cao_Event-Guided_Person_Re-Identification_via_Sparse-Dense_Complementary_Learning_CVPR_2023_paper.pdf)]
> ###### 7) *"Clothing-Change Feature Augmentation for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Han_Clothing-Change_Feature_Augmentation_for_Person_Re-Identification_CVPR_2023_paper.pdf)]
> ###### 8) *"Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Wu_Unsupervised_Visible-Infrared_Person_Re-Identification_via_Progressive_Graph_Matching_and_Alternate_CVPR_2023_paper.pdf)]
> ###### 9) *"Towards Modality-Agnostic Person Re-Identification With Descriptive Query"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Chen_Towards_Modality-Agnostic_Person_Re-Identification_With_Descriptive_Query_CVPR_2023_paper.pdf)]
> ###### 10) *"An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_An_In-Depth_Exploration_of_Person_Re-Identification_and_Gait_Recognition_in_CVPR_2023_paper.pdf)]
> ###### 11) *"Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Yang_Good_Is_Bad_Causality_Inspired_Cloth-Debiasing_for_Cloth-Changing_Person_Re-Identification_CVPR_2023_paper.pdf)]
- ***Person image synthesis / generation / reconstruction / 3D human***
> ###### 1) *"3DAvatarGAN: Bridging Domains for Personalized Editable Avatars"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Abdal_3DAvatarGAN_Bridging_Domains_for_Personalized_Editable_Avatars_CVPR_2023_paper.pdf)]
> ###### 2) *"Person Image Synthesis via Denoising Diffusion Model"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Bhunia_Person_Image_Synthesis_via_Denoising_Diffusion_Model_CVPR_2023_paper.pdf)]
> ###### 3) *"Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On"* [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Yan_Linking_Garment_With_Person_via_Semantically_Associated_Landmarks_for_Virtual_CVPR_2023_paper.pdf)]
---
## WACV2023
- ***Person re-identification***
> ###### 1) *"Body Part-Based Representation Learning for Occluded Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Somers_Body_Part-Based_Representation_Learning_for_Occluded_Person_Re-Identification_WACV_2023_paper.pdf)][[github](https://github.com/VlSomers/bpbreid)]
> ###### 2) *"Graph-Based Self-Learning for Robust Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Xian_Graph-Based_Self-Learning_for_Robust_Person_Re-Identification_WACV_2023_paper.pdf)]
> ###### 3) *"Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Kim_Feature_Disentanglement_Learning_With_Switching_and_Aggregation_for_Video-Based_Person_WACV_2023_paper.pdf)]
> ###### 4) *"Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Ghosh_Relation_Preserving_Triplet_Mining_for_Stabilising_the_Triplet_Loss_In_WACV_2023_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Gallery Filter Network for Person Search"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Jaffe_Gallery_Filter_Network_for_Person_Search_WACV_2023_paper.pdf)]
> ###### 2) *"SAT: Scale-Augmented Transformer for Person Search"* [[paper](https://openaccess.thecvf.com/content/WACV2023/html/Fiaz_SAT_Scale-Augmented_Transformer_for_Person_Search_WACV_2023_paper.html)]
> ###### 3) *"MEVID: Multi-view Extended Videos with Identities for Video Person Search"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Davila_MEVID_Multi-View_Extended_Videos_With_Identities_for_Video_Person_Re-Identification_WACV_2023_paper.pdf)]
- ***Object re-identification***
> ###### 1) *"Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification"* [[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Piano_Bent__Broken_Bicycles_Leveraging_Synthetic_Data_for_Damaged_Object_WACV_2023_paper.pdf)]
---
## ECCV2022
- ***Person re-identification***
> ###### 1) *"Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136840091.pdf)]
> ###### 2) *"PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740192.pdf)]
> ###### 3) *"Adaptive Cross-Domain Learning for Generalizable Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740209.pdf)]
> ###### 4) *"Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740279.pdf)]
> ###### 5) *"Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740362.pdf)]
> ###### 6) *"Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136860371.pdf)]
> ###### 7) *"Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740450.pdf)]
> ###### 8) *"Cross-Modality Transformer for Visible-Infrared Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740467.pdf)]
> ###### 9) *"CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740535.pdf)]
> ###### 10) *"Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740572.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Unstructured Feature Decoupling for Vehicle Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740328.pdf)]
> ###### 2) *"RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740415.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Domain Adaptive Person Search"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136740295.pdf)]
> ###### 2) *"OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136700615.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"A Simple and Robust Correlation Filtering method for text-based person search"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136950719.pdf)]
- ***Object re-identification***
> ###### 1) *"Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification"* [[paper](https://arxiv.org/pdf/2207.09884.pdf)]
- ***Person image synthesis / generation / reconstruction / 3D human***
> ###### 1) *"Cross Attention Based Style Distribution for Controllable Person Image Synthesis"* [[paper](https://arxiv.org/pdf/2208.00712.pdf)]
> ###### 2) *"FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction"* [[paper](https://arxiv.org/pdf/2105.01937.pdf)]
> ###### 3) *"DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras"* [[paper](https://arxiv.org/pdf/2207.08000.pdf)]
> ###### 4) *"UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation"* [[paper](https://arxiv.org/pdf/2207.09835.pdf)]
> ###### 5) *"3D Clothed Human Reconstruction in the Wild"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136620177.pdf)]
> ###### 6) *"Compositional Human-Scene Interaction Synthesis with Semantic Control"* [[paper](https://arxiv.org/pdf/2207.12824.pdf)]
> ###### 7) *"IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction"* [[paper](https://arxiv.org/pdf/2211.07955.pdf)]
> ###### 8) *"PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136660409.pdf)]
> ###### 9) *"Implicit Neural Representations for Variable Length Human Motion Generation"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136770359.pdf)]
> ###### 10) *"3D-Aware Semantic-Guided Generative Model for Human Synthesis"* [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136750337.pdf)]
---
## CVPR2022
- ***Person re-identification***
> ###### 1) *"Cloning Outfits From Real-World Images to 3D Characters for Generalizable Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Cloning_Outfits_From_Real-World_Images_to_3D_Characters_for_Generalizable_CVPR_2022_paper.pdf)]
> ###### 2) *"Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_Unleashing_Potential_of_Unsupervised_Pre-Training_With_Intra-Identity_Regularization_for_Person_CVPR_2022_paper.pdf)]
> ###### 3) *"Clothes-Changing Person Re-Identification With RGB Modality Only"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Gu_Clothes-Changing_Person_Re-Identification_With_RGB_Modality_Only_CVPR_2022_paper.pdf)]
> ###### 4) *"Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Cho_Part-Based_Pseudo_Label_Refinement_for_Unsupervised_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 5) *"Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_Learning_With_Twin_Noisy_Labels_for_Visible-Infrared_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 6) *"FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_FMCNet_Feature-Level_Modality_Compensation_for_Visible-Infrared_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 7) *"Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Huang_Lifelong_Unsupervised_Domain_Adaptive_Person_Re-Identification_With_Coordinated_Anti-Forgetting_and_CVPR_2022_paper.pdf)]
> ###### 8) *"Large-Scale Pre-Training for Person Re-Identification With Noisy Labels"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Fu_Large-Scale_Pre-Training_for_Person_Re-Identification_With_Noisy_Labels_CVPR_2022_paper.pdf)]
> ###### 9) *"Feature Erasing and Diffusion Network for Occluded Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Feature_Erasing_and_Diffusion_Network_for_Occluded_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 10) *"Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Learning_Memory-Augmented_Unidirectional_Metrics_for_Cross-Modality_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 11) *"Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liao_Graph_Sampling_Based_Deep_Metric_Learning_for_Generalizable_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 12) *"Augmented Geometric Distillation for Data-Free Incremental Person ReID"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Lu_Augmented_Geometric_Distillation_for_Data-Free_Incremental_Person_ReID_CVPR_2022_paper.pdf)]
> ###### 13) *"Salient-to-Broad Transition for Video Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Bai_Salient-to-Broad_Transition_for_Video_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 14) *"NFormer: Robust Person Re-Identification With Neighbor Transformer"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_NFormer_Robust_Person_Re-Identification_With_Neighbor_Transformer_CVPR_2022_paper.pdf)]
> ###### 15) *"Implicit Sample Extension for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Implicit_Sample_Extension_for_Unsupervised_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 16) *"Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Jin_Cloth-Changing_Person_Re-Identification_From_a_Single_Image_With_Gait_Prediction_CVPR_2022_paper.pdf)]
> ###### 17) *"Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Lin_Learning_Modal-Invariant_and_Temporal-Memory_for_Video-Based_Visible-Infrared_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 18) *"Meta Distribution Alignment for Generalizable Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Ni_Meta_Distribution_Alignment_for_Generalizable_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 19) *"Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wu_Camera-Conditioned_Stable_Feature_Generation_for_Isolated_Camera_Supervised_Person_Re-IDentification_CVPR_2022_paper.pdf)]
> ###### 20) *"AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Gu_AutoLoss-GMS_Searching_Generalized_Margin-Based_Softmax_Loss_Function_for_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 21) *"Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wu_Temporal_Complementarity-Guided_Reinforcement_Learning_for_Image-to-Video_Person_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 22) *"Modeling 3D Layout For Group Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Modeling_3D_Layout_for_Group_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 23) *"Connecting the Complementary-view Videos: Joint Camera Identification and Subject Association"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Han_Connecting_the_Complementary-View_Videos_Joint_Camera_Identification_and_Subject_Association_CVPR_2022_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"PSTR: End-to-End One-Step Person Search With Transformers"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Cao_PSTR_End-to-End_One-Step_Person_Search_With_Transformers_CVPR_2022_paper.pdf)]
> ###### 2) *"PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Doring_PoseTrack21_A_Dataset_for_Person_Search_Multi-Object_Tracking_and_Multi-Person_CVPR_2022_paper.pdf)]
> ###### 3) *"Cascade Transformers for End-to-End Person Search"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yu_Cascade_Transformers_for_End-to-End_Person_Search_CVPR_2022_paper.pdf)]
> ###### 4) *"Id-Free Person Similarity Learning"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Shuai_Id-Free_Person_Similarity_Learning_CVPR_2022_paper.pdf)]
- ***Object re-identification***
> ###### 1) *"Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhu_Dual_Cross-Attention_Learning_for_Fine-Grained_Visual_Categorization_and_Object_Re-Identification_CVPR_2022_paper.pdf)]
> ###### 2) *"Neural Face Identification in a 2D Wireframe Projection of a Manifold Object"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Neural_Face_Identification_in_a_2D_Wireframe_Projection_of_a_CVPR_2022_paper.pdf)]
> ###### 3) *"AirObject: A Temporally Evolving Graph Embedding for Object Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Keetha_AirObject_A_Temporally_Evolving_Graph_Embedding_for_Object_Identification_CVPR_2022_paper.pdf)]
- ***Person image synthesis / generation***
> ###### 1) *"Exploring Dual-Task Correlation for Pose Guided Person Image Generation"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Exploring_Dual-Task_Correlation_for_Pose_Guided_Person_Image_Generation_CVPR_2022_paper.pdf)]
> ###### 2) *"Neural Texture Extraction and Distribution for Controllable Person Image Synthesis"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Ren_Neural_Texture_Extraction_and_Distribution_for_Controllable_Person_Image_Synthesis_CVPR_2022_paper.pdf)]
> ###### 3) *"Self-Supervised Correlation Mining Network for Person Image Generation"* [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Self-Supervised_Correlation_Mining_Network_for_Person_Image_Generation_CVPR_2022_paper.pdf)]
---
## ICCV2021
- ***Person re-identification***
> ###### 1) *"Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Hao_Cross-Modality_Person_Re-Identification_via_Modality_Confusion_and_Center_Aggregation_ICCV_2021_paper.pdf)]
> ###### 2) *"Clothing Status Awareness for Long-Term Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Huang_Clothing_Status_Awareness_for_Long-Term_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 3) *"Dense Interaction Learning for Video-Based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/He_Dense_Interaction_Learning_for_Video-Based_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 4) *"Explainable Person Re-Identification With Attribute-Guided Metric Distillation"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Explainable_Person_Re-Identification_With_Attribute-Guided_Metric_Distillation_ICCV_2021_paper.pdf)] [[github](http://xiaodongchen.cn/AMD.github.io/)]
> ###### 5) *"Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zheng_Online_Pseudo_Label_Generation_by_Hierarchical_Cluster_Dynamics_for_Adaptive_ICCV_2021_paper.pdf)]
> ###### 6) *"Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Wang_Multi-Expert_Adversarial_Attack_Detection_in_Person_Re-Identification_Using_Context_Inconsistency_ICCV_2021_paper.pdf)]
> ###### 7) *"Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Wang_Pyramid_Spatial-Temporal_Aggregation_for_Video-Based_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/WangYQ9/VideoReID_PSTA)]
> ###### 8) *"ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_ICE_Inter-Instance_Contrastive_Encoding_for_Unsupervised_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/chenhao2345/ICE)]
> ###### 9) *"BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yan_BV-Person_A_Large-Scale_Dataset_for_Bird-View_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/daidaidouer/BVPerson)]
> ###### 10) *"Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yang_Learning_To_Know_Where_To_See_A_Visibility-Aware_Approach_for_ICCV_2021_paper.pdf)]
> ###### 11) *"CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Fu_CM-NAS_Cross-Modality_Neural_Architecture_Search_for_Visible-Infrared_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/JDAI-CV/CM-NAS)]
> ###### 12) *"Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Ji_Meta_Pairwise_Relationship_Distillation_for_Unsupervised_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 13) *"Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Wei_Syncretic_Modality_Collaborative_Learning_for_Visible_Infrared_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 14) *"Towards Discriminative Representation Learning for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Isobe_Towards_Discriminative_Representation_Learning_for_Unsupervised_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 15) *"Video-Based Person Re-Identification With Spatial and Temporal Memory Networks"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Eom_Video-Based_Person_Re-Identification_With_Spatial_and_Temporal_Memory_Networks_ICCV_2021_paper.pdf)] [[github](https://cvlab.yonsei.ac.kr/projects/STMN/)]
> ###### 16) *"Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Park_Learning_by_Aligning_Visible-Infrared_Person_Re-Identification_Using_Cross-Modal_Correspondences_ICCV_2021_paper.pdf)] [[github](https://cvlab.yonsei.ac.kr/projects/LbA/)]
> ###### 17) *"Spatio-Temporal Representation Factorization for Video-Based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Aich_Spatio-Temporal_Representation_Factorization_for_Video-Based_Person_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 18) *"IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Dai_IDM_An_Intermediate_Domain_Module_for_Domain_Adaptive_Person_Re-ID_ICCV_2021_paper.pdf)] [[github](https://github.com/SikaStar/IDM)]
> ###### 19) *"Weakly Supervised Text-Based Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhao_Weakly_Supervised_Text-Based_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/X-BrainLab/WS_Text-ReID)]
> ###### 20) *"Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Occlude_Them_All_Occlusion-Aware_Attention_Network_for_Occluded_Person_Re-ID_ICCV_2021_paper.pdf)]
> ###### 21) *"Occluded Person Re-Identification With Single-Scale Global Representations"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yan_Occluded_Person_Re-Identification_With_Single-Scale_Global_Representations_ICCV_2021_paper.pdf)] [[github](https://github.com/daidaidouer/OP-ReID)]
> ###### 22) *"Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Ren_Learning_Instance-Level_Spatial-Temporal_Patterns_for_Person_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/RenMin1991/cleaned-DukeMTMC-reID/)]
> ###### 23) *"TransReID: Transformer-Based Object Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/He_TransReID_Transformer-Based_Object_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/heshuting555/TransReID)]
> ###### 24) *"Attack-Guided Perceptual Data Generation for Real-World Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Huang_Attack-Guided_Perceptual_Data_Generation_for_Real-World_Re-Identification_ICCV_2021_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Li_Self-Supervised_Geometric_Features_Discovery_via_Interpretable_Attention_for_Vehicle_Re-Identification_ICCV_2021_paper.pdf)]
> ###### 2) *"Heterogeneous Relational Complement for Vehicle Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhao_Heterogeneous_Relational_Complement_for_Vehicle_Re-Identification_ICCV_2021_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Han_End-to-End_Trainable_Trident_Person_Search_Network_Using_Adaptive_Gradient_Propagation_ICCV_2021_paper.pdf)]
> ###### 2) *"Weakly Supervised Person Search With Region Siamese Networks"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Han_Weakly_Supervised_Person_Search_With_Region_Siamese_Networks_ICCV_2021_paper.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"LapsCore: Language-Guided Person Search via Color Reasoning"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Wu_LapsCore_Language-Guided_Person_Search_via_Color_Reasoning_ICCV_2021_paper.pdf)]
> ###### 2) *"ASMR: Learning Attribute-Based Person Search With Adaptive Semantic Margin Regularizer"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Jeong_ASMR_Learning_Attribute-Based_Person_Search_With_Adaptive_Semantic_Margin_Regularizer_ICCV_2021_paper.pdf)] [[github](http://cvlab.postech.ac.kr/research/ASMR/)]
- ***Object re-identification***
> ###### 1) *"Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Rao_Counterfactual_Attention_Learning_for_Fine-Grained_Visual_Categorization_and_Re-Identification_ICCV_2021_paper.pdf)] [[github](https://github.com/raoyongming/CAL)]
- ***Person image synthesis / generation***
> ###### 1) *"Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Cui_Dressing_in_Order_Recurrent_Person_Image_Generation_for_Pose_Transfer_ICCV_2021_paper.pdf)] [[github](https://github.com/cuiaiyu/dressing-in-order)]
> ###### 2) *"Structure-Transformed Texture-Enhanced Network for Person Image Synthesis"* [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Xu_Structure-Transformed_Texture-Enhanced_Network_for_Person_Image_Synthesis_ICCV_2021_paper.pdf)]
---
## CVPR2021
- ***Person re-identification***
> ###### 1) *"Meta Batch-Instance Normalization for Generalizable Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Choi_Meta_Batch-Instance_Normalization_for_Generalizable_Person_Re-Identification_CVPR_2021_paper.pdf)][[github](https://github.com/bismex/MetaBIN)]
> ###### 2) *"Intra-Inter Camera Similarity for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Xuan_Intra-Inter_Camera_Similarity_for_Unsupervised_Person_Re-Identification_CVPR_2021_paper.pdf)][[github](https://github.com/SY-Xuan/IICS)]
> ###### 3) *"Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Yang_Joint_Noise-Tolerant_Learning_and_Meta_Camera_Shift_Adaptation_for_Unsupervised_CVPR_2021_paper.pdf)][[github](https://github.com/FlyingRoastDuck/MetaCam_DSCE)]
> ###### 4) *"Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Watching_You_Global-Guided_Reciprocal_Learning_for_Video-Based_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 5) *"Lifelong Person Re-Identification via Adaptive Knowledge Accumulation"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Pu_Lifelong_Person_Re-Identification_via_Adaptive_Knowledge_Accumulation_CVPR_2021_paper.pdf)][[github](https://github.com/TPCD/LifelongReID)]
> ###### 6) *"Group-aware Label Transfer for Domain Adaptive Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zheng_Group-aware_Label_Transfer_for_Domain_Adaptive_Person_Re-identification_CVPR_2021_paper.pdf)][[github](https://github.com/zkcys001/UDAStrongBaseline)]
> ###### 6) *"Combined Depth Space based Architecture Search For Person Re-identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Li_Combined_Depth_Space_Based_Architecture_Search_for_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 7) *"Neural Feature Search for RGB-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Neural_Feature_Search_for_RGB-Infrared_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 8) *"Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhao_Learning_to_Generalize_Unseen_Domains_via_Memory-based_Multi-Source_Meta-Learning_for_CVPR_2021_paper.pdf)][[github](https://github.com/HeliosZhao/M3L)]
> ###### 9) *"Unsupervised Multi-Source Domain Adaptation for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Unsupervised_Multi-Source_Domain_Adaptation_for_Person_Re-Identification_CVPR_2021_paper.pdf)] [[github](https://github.com/Neverland610/MSUDA_REID/)]
> ###### 10) *"Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Coarse-To-Fine_Person_Re-Identification_With_Auxiliary-Domain_Classification_and_Second-Order_Information_Bottleneck_CVPR_2021_paper.pdf)]
> ###### 11) *"Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Tian_Farewell_to_Mutual_Information_Variational_Distillation_for_Cross-Modal_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 12) *"Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Joint_Generative_and_Contrastive_Learning_for_Unsupervised_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 13) *"BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Hou_BiCnet-TKS_Learning_Efficient_Spatial-Temporal_Representation_for_Video_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 14) *"Person30K: A Dual-Meta Generalization Network for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Person30K_A_Dual-Meta_Generalization_Network_for_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 15) *"Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Li_Diverse_Part_Discovery_Occluded_Person_Re-Identification_With_Part-Aware_Transformer_CVPR_2021_paper.pdf)]
> ###### 16) *"Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Discover_Cross-Modality_Nuances_for_Visible-Infrared_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 17) *"Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Spatial-Temporal_Correlation_and_Topology_Learning_for_Person_Re-Identification_in_Videos_CVPR_2021_paper.pdf)]
> ###### 18) *"Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Learning_3D_Shape_Feature_for_Texture-Insensitive_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 19) *"Partial Person Re-Identification With Part-Part Correspondence Learning"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/He_Partial_Person_Re-Identification_With_Part-Part_Correspondence_Learning_CVPR_2021_paper.pdf)]
> ###### 20) *"Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Hong_Fine-Grained_Shape-Appearance_Mutual_Learning_for_Cloth-Changing_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 21) *"UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_UnrealPerson_An_Adaptive_Pipeline_Towards_Costless_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 22) *"Person Re-Identification Using Heterogeneous Local Graph Attention Networks"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Person_Re-Identification_Using_Heterogeneous_Local_Graph_Attention_Networks_CVPR_2021_paper.pdf)]
> ###### 23) *"Wide-Baseline Multi-Camera Calibration Using Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Xu_Wide-Baseline_Multi-Camera_Calibration_Using_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 24) *"Unsupervised Pre-Training for Person Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Xu_Wide-Baseline_Multi-Camera_Calibration_Using_Person_Re-Identification_CVPR_2021_paper.pdf)]
> ###### 25) *"Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Dai_Generalizable_Person_Re-Identification_With_Relevance-Aware_Mixture_of_Experts_CVPR_2021_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhao_PhD_Learning_Learning_With_Pompeiu-Hausdorff_Distances_for_Video-Based_Vehicle_Re-Identification_CVPR_2021_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Anchor-Free Person Search"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Yan_Anchor-Free_Person_Search_CVPR_2021_paper.pdf)]
> ###### 2) *"Prototype-Guided Saliency Feature Learning for Person Search"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Kim_Prototype-Guided_Saliency_Feature_Learning_for_Person_Search_CVPR_2021_paper.pdf)]
- ***Object re-identification***
> ###### 1) *"Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Refining_Pseudo_Labels_With_Clustering_Consensus_Over_Generations_for_Unsupervised_CVPR_2021_paper.pdf)]
- ***Person image synthesis / generation***
> ###### 1) *"PISE: Person Image Synthesis and Editing With Decoupled GAN"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_PISE_Person_Image_Synthesis_and_Editing_With_Decoupled_GAN_CVPR_2021_paper.pdf)]
> ###### 2) *"Learning Semantic Person Image Generation by Region-Adaptive Normalization"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Lv_Learning_Semantic_Person_Image_Generation_by_Region-Adaptive_Normalization_CVPR_2021_paper.pdf)]
> ###### 3) *"MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation"* [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Ma_MUST-GAN_Multi-Level_Statistics_Transfer_for_Self-Driven_Person_Image_Generation_CVPR_2021_paper.pdf)]
---
## ECCV2020
- ***Person re-identification***
> ###### 1) *"Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470086.pdf)]
> ###### 2) *"Appearance-Preserving 3D Convolution for Video-based Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470222.pdf)]
> ###### 3) *"Identity-Guided Human Semantic Parsing for Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480358.pdf)]
> ###### 4) *"Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510647.pdf)]
> ###### 5) *"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123520579.pdf)]
> ###### 6) *"Global Distance-distributions Separation for Unsupervised Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123520715.pdf)]
> ###### 7) *"Faster Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530273.pdf)]
> ###### 8) *"Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530630.pdf)]
> ###### 9) *"Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530647.pdf)]
> ###### 10) *"Interpretable and Generalizable Person Re-identification with Query-adaptive Convolution and Temporal Lifting"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560443.pdf)]
> ###### 11) *"Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560511.pdf)]
> ###### 12) *"Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570137.pdf)]
> ###### 13) *"Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600222.pdf)]
> ###### 14) *"Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620222.pdf)]
> ###### 15) *"Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123690477.pdf)]
> ###### 16) *"Temporal Complementary Learning for Video Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700392.pdf)]
> ###### 17) *"Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123710188.pdf)]
> ###### 18) *"An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730018.pdf)]
> ###### 19) *"Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730358.pdf)]
> ###### 20) *"Robust Re-Identification by Multiple Views Knowledge Distillation"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550103.pdf)]
> ###### 21) *"Character Grounding and Re-Identification in Story of Videos and Text Descriptions"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123500528.pdf)]
> ###### 22) *"ReAD: Reciprocal Attention Discriminator for Image-to-Video Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123590324.pdf)]
> ###### 23) *"Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720256.pdf)]
> ###### 24) *"Unsupervised domain adaptation in the dissimilarity space for person re-identification"* [[paper](https://arxiv.org/pdf/2007.13890.pdf)]
> ###### 25) *"CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560069.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Simulating Content Consistent Vehicle Datasets with Attribute Descent"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510766.pdf)]
> ###### 2) *"The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123590358.pdf)]
> ###### 3) *"Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470324.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Online Multi-modal Person Search in Videos"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570171.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570392.pdf)]
> ###### 2) *"Symbiotic Adversarial Learning for Attribute-Based Person Search"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123590222.pdf)]
- ***Person image synthesis / generation***
> ###### 1) *"XingGAN for Person Image Generation"* [[paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700715.pdf)]
---
## CVPR2020
- ***Person re-identification***
> ###### 1) *"Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Choi_Hi-CMD_Hierarchical_Cross-Modality_Disentanglement_for_Visible-Infrared_Person_Re-Identification_CVPR_2020_paper.pdf)] [[github](https://github.com/bismex/HiCMD)] [[video](https://www.youtube.com/watch?v=da_4DxF0rGk&feature=youtu.be)]
> ###### 2) *"Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Transferable_Controllable_and_Inconspicuous_Adversarial_Attacks_on_Person_Re-identification_With_CVPR_2020_paper.pdf)] [[github](https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking)]
> ###### 3) *"Inter-Task Association Critic for Cross-Resolution Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Cheng_Inter-Task_Association_Critic_for_Cross-Resolution_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 4) *"Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Yan_Learning_Multi-Granular_Hypergraphs_for_Video-Based_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 5) *"Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhou_Online_Joint_Multi-Metric_Adaptation_From_Frequent_Sharing-Subset_Mining_for_Person_CVPR_2020_paper.pdf)]
> ###### 6) *"Style Normalization and Restitution for Generalizable Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Jin_Style_Normalization_and_Restitution_for_Generalizable_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 7) *"Relation-Aware Global Attention for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Relation-Aware_Global_Attention_for_Person_Re-Identification_CVPR_2020_paper.pdf)] [[github](https://github.com/microsoft/Relation-Aware-Global-Attention-Networks)]
> ###### 8) *"Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Spatial-Temporal_Graph_Convolutional_Network_for_Video-Based_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 9) *"Salience-Guided Cascaded Suppression Network for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Salience-Guided_Cascaded_Suppression_Network_for_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 10) *"Unsupervised Person Re-Identification via Softened Similarity Learning"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Lin_Unsupervised_Person_Re-Identification_via_Softened_Similarity_Learning_CVPR_2020_paper.pdf)]
> ###### 11) *"Weakly Supervised Discriminative Feature Learning With State Information for Person Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Yu_Weakly_Supervised_Discriminative_Feature_Learning_With_State_Information_for_Person_CVPR_2020_paper.pdf)] [[github](https://github.com/KovenYu/state-information)]
> ###### 12) *"High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_High-Order_Information_Matters_Learning_Relation_and_Topology_for_Occluded_Person_CVPR_2020_paper.pdf)] [[github](https://github.com/wangguanan/HOReID)]
> ###### 13) *"Unity Style Transfer for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Liu_Unity_Style_Transfer_for_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 14) *"AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhai_AD-Cluster_Augmented_Discriminative_Clustering_for_Domain_Adaptive_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 15) *"Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Multi-Granularity_Reference-Aided_Attentive_Feature_Aggregation_for_Video-Based_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 16) *"Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Smoothing_Adversarial_Domain_Attack_and_P-Memory_Reconsolidation_for_Cross-Domain_Person_CVPR_2020_paper.pdf)]
> ###### 17) *"Learning Longterm Representations for Person Re-Identification Using Radio Signals"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Fan_Learning_Longterm_Representations_for_Person_Re-Identification_Using_Radio_Signals_CVPR_2020_paper.pdf)]
> ###### 18) *"Unsupervised Person Re-Identification via Multi-Label Classification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Unsupervised_Person_Re-Identification_via_Multi-Label_Classification_CVPR_2020_paper.pdf)]
> ###### 19) *"Pose-Guided Visible Part Matching for Occluded Person ReID"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Gao_Pose-Guided_Visible_Part_Matching_for_Occluded_Person_ReID_CVPR_2020_paper.pdf)] [[github](https://github.com/hh23333/PVPM)]
> ###### 20) *"Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Ahmed_Camera_On-Boarding_for_Person_Re-Identification_Using_Hypothesis_Transfer_Learning_CVPR_2020_paper.pdf)]
> ###### 21) *"Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Lu_Cross-Modality_Person_Re-Identification_With_Shared-Specific_Feature_Transfer_CVPR_2020_paper.pdf)]
> ###### 22) *"Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zeng_Hierarchical_Clustering_With_Hard-Batch_Triplet_Loss_for_Person_Re-Identification_CVPR_2020_paper.pdf)]
> ###### 23) *"Real-World Person Re-Identification via Degradation Invariance Learning"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Huang_Real-World_Person_Re-Identification_via_Degradation_Invariance_Learning_CVPR_2020_paper.pdf)]
> ###### 24) *"COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Yu_COCAS_A_Large-Scale_Clothes_Changing_Person_Dataset_for_Re-Identification_CVPR_2020_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Meng_Parsing-Based_View-Aware_Embedding_Network_for_Vehicle_Re-Identification_CVPR_2020_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Instance Guided Proposal Network for Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Dong_Instance_Guided_Proposal_Network_for_Person_Search_CVPR_2020_paper.pdf)]
> ###### 2) *"Bi-Directional Interaction Network for Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Dong_Bi-Directional_Interaction_Network_for_Person_Search_CVPR_2020_paper.pdf)]
> ###### 3) *"Robust Partial Matching for Person Search in the Wild"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhong_Robust_Partial_Matching_for_Person_Search_in_the_Wild_CVPR_2020_paper.pdf)]
> ###### 4) *"TCTS: A Task-Consistent Two-Stage Framework for Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_TCTS_A_Task-Consistent_Two-Stage_Framework_for_Person_Search_CVPR_2020_paper.pdf)]
> ###### 5) *"Norm-Aware Embedding for Efficient Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Norm-Aware_Embedding_for_Efficient_Person_Search_CVPR_2020_paper.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"Cross-Modal Cross-Domain Moment Alignment Network for Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Jing_Cross-Modal_Cross-Domain_Moment_Alignment_Network_for_Person_Search_CVPR_2020_paper.pdf)]
- ***Person image synthesis / generation***
> ###### 1) *"Controllable Person Image Synthesis With Attribute-Decomposed GAN"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Men_Controllable_Person_Image_Synthesis_With_Attribute-Decomposed_GAN_CVPR_2020_paper.pdf)] [[github](https://github.com/menyifang/ADGAN)]
> ###### 2) *"Deep Image Spatial Transformation for Person Image Generation"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Ren_Deep_Image_Spatial_Transformation_for_Person_Image_Generation_CVPR_2020_paper.pdf)] [[github](https://github.com/RenYurui/Global-Flow-Local-Attention)]
> ###### 3) *"MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis"* [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Weng_MISC_Multi-Condition_Injection_and_Spatially-Adaptive_Compositing_for_Conditional_Person_Image_CVPR_2020_paper.pdf)]
---
## ICCV2019
- ***Person re-identification***
> ###### 1) *"Instance-Guided Context Rendering for Cross-Domain Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_Instance-Guided_Context_Rendering_for_Cross-Domain_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 2) *"Mixed High-Order Attention Network for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_Mixed_High-Order_Attention_Network_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 3) *"Pose-Guided Feature Alignment for Occluded Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Miao_Pose-Guided_Feature_Alignment_for_Occluded_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 4) *"Robust Person Re-Identification by Modelling Feature Uncertainty"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yu_Robust_Person_Re-Identification_by_Modelling_Feature_Uncertainty_ICCV_2019_paper.pdf)]
> ###### 5) *"Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Subramaniam_Co-Segmentation_Inspired_Attention_Networks_for_Video-Based_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 6) *"RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_RGB-Infrared_Cross-Modality_Person_Re-Identification_via_Joint_Pixel_and_Feature_Alignment_ICCV_2019_paper.pdf)]
> ###### 7) *"Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Guo_Beyond_Human_Parts_Dual_Part-Aligned_Representations_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 8) *"Batch DropBlock Network for Person Re-Identification and Beyond"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Dai_Batch_DropBlock_Network_for_Person_Re-Identification_and_Beyond_ICCV_2019_paper.pdf)]
> ###### 9) *"Omni-Scale Feature Learning for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhou_Omni-Scale_Feature_Learning_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 10) *"Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Quan_Auto-ReID_Searching_for_a_Part-Aware_ConvNet_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 11) *"Second-Order Non-Local Attention Networks for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Xia_Second-Order_Non-Local_Attention_Networks_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 12) *"Global-Local Temporal Representations for Video Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Global-Local_Temporal_Representations_for_Video_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 13) *"Spectral Feature Transformation for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Luo_Spectral_Feature_Transformation_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 14) *"Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Fu_Self-Similarity_Grouping_A_Simple_Unsupervised_Cross_Domain_Adaptation_Approach_for_ICCV_2019_paper.pdf)]
> ###### 15) *"Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_Deep_Reinforcement_Active_Learning_for_Human-in-the-Loop_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 16) *"View Confusion Feature Learning for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_View_Confusion_Feature_Learning_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 17) *"MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Sun_MVP_Matching_A_Maximum-Value_Perfect_Matching_for_Mining_Hard_Samples_ICCV_2019_paper.pdf)]
> ###### 18) *"Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wu_Unsupervised_Person_Re-Identification_by_Camera-Aware_Similarity_Consistency_Learning_ICCV_2019_paper.pdf)]
> ###### 19) *"Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Cross-Dataset_Person_Re-Identification_via_Unsupervised_Pose_Disentanglement_and_Adaptation_ICCV_2019_paper.pdf)]
> ###### 20) *"Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhou_Discriminative_Feature_Learning_With_Consistent_Attention_Regularization_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 21) *"A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Qi_A_Novel_Unsupervised_Camera-Aware_Domain_Adaptation_Framework_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 22) *"Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Recover_and_Identify_A_Generative_Dual_Model_for_Cross-Resolution_Person_ICCV_2019_paper.pdf)]
> ###### 23) *"Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_Self-Training_With_Progressive_Augmentation_for_Unsupervised_Cross-Domain_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 24) *"Unsupervised Graph Association for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wu_Unsupervised_Graph_Association_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 25) *"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_advPattern_Physical-World_Attacks_on_Deep_Person_Re-Identification_via_Adversarially_Transformable_ICCV_2019_paper.pdf)]
> ###### 26) *"ABD-Net: Attentive but Diverse Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_ABD-Net_Attentive_but_Diverse_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 27) *"Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/He_Foreground-Aware_Pyramid_Reconstruction_for_Alignment-Free_Occluded_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 28) *"SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_SBSGAN_Suppression_of_Inter-Domain_Background_Shift_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 29) *"Self-Critical Attention Learning for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_Self-Critical_Attention_Learning_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 30) *"Temporal Knowledge Propagation for Image-to-Video Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Gu_Temporal_Knowledge_Propagation_for_Image-to-Video_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 31) *"Deep Constrained Dominant Sets for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Alemu_Deep_Constrained_Dominant_Sets_for_Person_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 32) *"Bilinear Attention Networks for Person Retrieval"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Fang_Bilinear_Attention_Networks_for_Person_Retrieval_ICCV_2019_paper.pdf)]
> ###### 33) *"Deep Meta Metric Learning"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_Deep_Meta_Metric_Learning_ICCV_2019_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Tang_PAMTRI_Pose-Aware_Multi-Task_Learning_for_Vehicle_Re-Identification_Using_Highly_Randomized_ICCV_2019_paper.pdf)]
> ###### 2) *"Vehicle Re-Identification in Aerial Imagery: Dataset and Approach"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_Vehicle_Re-Identification_in_Aerial_Imagery_Dataset_and_Approach_ICCV_2019_paper.pdf)]
> ###### 3) *"A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Khorramshahi_A_Dual-Path_Model_With_Adaptive_Attention_for_Vehicle_Re-Identification_ICCV_2019_paper.pdf)]
> ###### 4) *"Vehicle Re-Identification With Viewpoint-Aware Metric Learning"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chu_Vehicle_Re-Identification_With_Viewpoint-Aware_Metric_Learning_ICCV_2019_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Re-ID Driven Localization Refinement for Person Search"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Han_Re-ID_Driven_Localization_Refinement_for_Person_Search_ICCV_2019_paper.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"Person Search by Text Attribute Query As Zero-Shot Learning"* [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Dong_Person_Search_by_Text_Attribute_Query_As_Zero-Shot_Learning_ICCV_2019_paper.pdf)]
---
## CVPR2019
- ***Person re-identification***
> ###### 1) *"Weakly Supervised Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Meng_Weakly_Supervised_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 2) *"Patch-Based Discriminative Feature Learning for Unsupervised Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Patch-Based_Discriminative_Feature_Learning_for_Unsupervised_Person_Re-Identification_CVPR_2019_paper.pdf)] [[github]](https://github.com/QizeYang/PAUL)
> ###### 3) *"Unsupervised Person Re-identification by Soft Multilabel Learning"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Unsupervised_Person_Re-Identification_by_Soft_Multilabel_Learning_CVPR_2019_paper.pdf)] [[github](https://github.com/KovenYu/MAR)]
> ###### 4) *"Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhong_Invariance_Matters_Exemplar_Memory_for_Domain_Adaptive_Person_Re-Identification_CVPR_2019_paper.pdf)] [[github](https://github.com/zhunzhong07/ECN)]
> ###### 5) *"Adaptive Transfer Network for Cross-Domain Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Adaptive_Transfer_Network_for_Cross-Domain_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 6) *"Densely Semantically Aligned Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Densely_Semantically_Aligned_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 7) *"Generalizable Person Re-identification by Domain-Invariant Mapping Network"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Generalizable_Person_Re-Identification_by_Domain-Invariant_Mapping_Network_CVPR_2019_paper.pdf)]
> ###### 8) *"Re-Identification with Consistent Attentive Siamese Networks"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Re-Identification_With_Consistent_Attentive_Siamese_Networks_CVPR_2019_paper.pdf)]
> ###### 9) *"Distilled Person Re-identification: Towards a More Scalable System"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Distilled_Person_Re-Identification_Towards_a_More_Scalable_System_CVPR_2019_paper.pdf)]
> ###### 10) *"Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Towards_Rich_Feature_Discovery_With_Class_Activation_Maps_Augmentation_for_CVPR_2019_paper.pdf)]
> ###### 11) *"AANet: Attribute Attention Network for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Tay_AANet_Attribute_Attention_Network_for_Person_Re-Identifications_CVPR_2019_paper.pdf)]
> ###### 12) *"Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Pyramidal_Person_Re-IDentification_via_Multi-Loss_Dynamic_Training_CVPR_2019_paper.pdf)]
> ###### 13) *"Interaction-and-Aggregation Network for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_Interaction-And-Aggregation_Network_for_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 14) *"Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Perceive_Where_to_Focus_Learning_Visibility-Aware_Part-Level_Features_for_Partial_CVPR_2019_paper.pdf)]
> ###### 15) *"VRSTC: Occlusion-Free Video Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_VRSTC_Occlusion-Free_Video_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 16) *"Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Attribute-Driven_Feature_Disentangling_and_Temporal_Aggregation_for_Video_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 17) *"Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_to_Reduce_Dual-Level_Discrepancy_for_Infrared-Visible_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 18) *"Joint Discriminative and Generative Learning for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Joint_Discriminative_and_Generative_Learning_for_Person_Re-Identification_CVPR_2019_paper.pdf)] [[github](https://github.com/NVlabs/DG-Net)]
> ###### 19) *"Re-Identification Supervised Texture Generation"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Re-Identification_Supervised_Texture_Generation_CVPR_2019_paper.pdf)]
> ###### 20) *"Re-ranking via Metric Fusion for Object Retrieval and Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Bai_Re-Ranking_via_Metric_Fusion_for_Object_Retrieval_and_Person_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 21) *"Dissecting Person Re-identification from the Viewpoint of Viewpoint"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Dissecting_Person_Re-Identification_From_the_Viewpoint_of_Viewpoint_CVPR_2019_paper.pdf)] [[github](https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint)]
- ***Vehicle re-identification***
> ###### 1) *"Part-regularized Near-Duplicate Vehicle Re-identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/He_Part-Regularized_Near-Duplicate_Vehicle_Re-Identification_CVPR_2019_paper.pdf)]
> ###### 2) *"CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_CityFlow_A_City-Scale_Benchmark_for_Multi-Target_Multi-Camera_Vehicle_Tracking_and_CVPR_2019_paper.pdf)]
> ###### 3) *"VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Lou_VERI-Wild_A_Large_Dataset_and_a_New_Method_for_Vehicle_CVPR_2019_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Query-guided End-to-End Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Munjal_Query-Guided_End-To-End_Person_Search_CVPR_2019_paper.pdf)] [[github](https://github.com/munjalbharti/Query-guided-End-to-End-Person-Search)]
> ###### 2) *"Learning Context Graph for Person Search"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yan_Learning_Context_Graph_for_Person_Search_CVPR_2019_paper.pdf)] [[github](https://github.com/sjtuzq/person_search_gcn)]
- ***Person image synthesis / generation***
> ###### 1) *"Progressive Pose Attention Transfer for Person Image Generation"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Progressive_Pose_Attention_Transfer_for_Person_Image_Generation_CVPR_2019_paper.pdf)] [[github](https://github.com/tengteng95/Pose-Transfer)]
> ###### 2) *"Unsupervised Person Image Generation with Semantic Parsing Transformation"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Unsupervised_Person_Image_Generation_With_Semantic_Parsing_Transformation_CVPR_2019_paper.pdf)] [[github](https://github.com/SijieSong/person_generation_spt)]
> ###### 3) *"Text Guided Person Image Synthesis"* [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Text_Guided_Person_Image_Synthesis_CVPR_2019_paper.pdf)]
---
## ECCV2018
- ***Person re-identification***
> ###### 1) *"Domain Adaptation through Synthesis for Unsupervised Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Slawomir_Bak_Domain_Adaptation_through_ECCV_2018_paper.pdf)]
> ###### 2) *"Unsupervised Person Re-identification by Deep Learning Tracklet Association"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Minxian_Li_Unsupervised_Person_Re-identification_ECCV_2018_paper.pdf)]
> ###### 3) *"Generalizing A Person Retrieval Model Hetero- and Homogeneously"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Zhun_Zhong_Generalizing_A_Person_ECCV_2018_paper.pdf)] [[Github](https://github.com/zhunzhong07/HHL)]
> ###### 4) *"Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Mang_YE_Robust_Anchor_Embedding_ECCV_2018_paper.pdf)]
> ###### 5) *"Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/T_M_Feroz_Ali_Maximum_Margin_Metric_ECCV_2018_paper.pdf)]
> ###### 6) *"Person Re-identification with Deep Similarity-Guided Graph Neural Network"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yantao_Shen_Person_Re-identification_with_ECCV_2018_paper.pdf)]
> ###### 7) *"Pose-Normalized Image Generation for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xuelin_Qian_Pose-Normalized_Image_Generation_ECCV_2018_paper.pdf)]
> ###### 8) *"Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Dapeng_Chen_Improving_Deep_Visual_ECCV_2018_paper.pdf)]
> ###### 9) *"Hard-Aware Point-to-Set Deep Metric for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Rui_Yu_Hard-Aware_Point-to-Set_Deep_ECCV_2018_paper.pdf)]
> ###### 10) *"Part-Aligned Bilinear Representations for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yumin_Suh_Part-Aligned_Bilinear_Representations_ECCV_2018_paper.pdf)] [[Github](https://github.com/yuminsuh/part_bilinear_reid)]
> ###### 11) *"Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Cheng_Wang_Mancs_A_Multi-task_ECCV_2018_paper.pdf)]
> ###### 12) *"Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yifan_Sun_Beyond_Part_Models_ECCV_2018_paper.pdf)]
> ###### 13) *"Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Nikolaos_Karianakis_Reinforced_Temporal_Attention_ECCV_2018_paper.pdf)]
> ###### 14) *"Adversarial Open-World Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiang_Li_Adversarial_Open-World_Person_ECCV_2018_paper.pdf)]
> ###### 15) *"Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Shervin_Ardeshir_Integrating_Egocentric_Videos_ECCV_2018_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"RCAA: Relational Context-Aware Agents for Person Search"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiaojun_Chang_RCAA_Relational_Context-Aware_ECCV_2018_paper.pdf)]
> ###### 2) *"Person Search in Videos with One Portrait Through Visual and Temporal Links"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Qingqiu_Huang_Person_Search_in_ECCV_2018_paper.pdf)]
> ###### 3) *"Person Search by Multi-Scale Matching"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xu_Lan_Person_Search_by_ECCV_2018_paper.pdf)]
> ###### 4) *"Person Search via A Mask-Guided Two-Stream CNN Model"* [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Di_Chen_Person_Search_via_ECCV_2018_paper.pdf)]
---
## CVPR2018
- ***Person re-identification***
> ###### 1) *"Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lv_Unsupervised_Cross-Dataset_Person_CVPR_2018_paper.pdf)] [[Github](https://github.com/ahangchen/TFusion)]
> ###### 2) *"Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Transferable_Joint_Attribute-Identity_CVPR_2018_paper.pdf)]
> ###### 3) *"Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.pdf)] [[Github](https://github.com/Simon4Yan/Learning-via-Translation)]
> ###### 4) *"Disentangled Person Image Generation"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Disentangled_Person_Image_CVPR_2018_paper.pdf)]
> ###### 5) *"Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Exploit_the_Unknown_CVPR_2018_paper.pdf)] [[Github](https://github.com/Yu-Wu/Exploit-Unknown-Gradually)] [[Homepage](https://yu-wu.net/publication/cvpr2018-oneshot-reid/)]
> ###### 6) *"Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Diversity_Regularized_Spatiotemporal_CVPR_2018_paper.pdf)]
> ###### 7) *"A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sarfraz_A_Pose-Sensitive_Embedding_CVPR_2018_paper.pdf)]
> ###### 8) *"Human Semantic Parsing for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.pdf)]
> ###### 9) *"Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf)]
> ###### 10) *"Mask-guided Contrastive Attention Model for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Mask-Guided_Contrastive_Attention_CVPR_2018_paper.pdf)]
> ###### 11) *"Person Re-identification with Cascaded Pairwise Convolutions"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Person_Re-Identification_With_CVPR_2018_paper.pdf)]
> ###### 12) *"Multi-Level Factorisation Net for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_Multi-Level_Factorisation_Net_CVPR_2018_paper.pdf)]
> ###### 13) *"Attention-Aware Compositional Network for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.pdf)]
> ###### 14) *"Deep Group-shuffling Random Walk for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Deep_Group-Shuffling_Random_CVPR_2018_paper.pdf)]
> ###### 15) *"Harmonious Attention Network for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Harmonious_Attention_Network_CVPR_2018_paper.pdf)]
> ###### 16) *"Efficient and Deep Person Re-Identification using Multi-Level Similarity"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Guo_Efficient_and_Deep_CVPR_2018_paper.pdf)]
> ###### 17) *"Pose Transferrable Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Pose_Transferrable_Person_CVPR_2018_paper.pdf)]
> ###### 18) *"Adversarially Occluded Samples for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Adversarially_Occluded_Samples_CVPR_2018_paper.pdf)]
> ###### 19) *"Camera Style Adaptation for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhong_Camera_Style_Adaptation_CVPR_2018_paper.pdf)]
> ###### 20) *"Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Si_Dual_Attention_Matching_CVPR_2018_paper.pdf)]
> ###### 21) *"Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf)]
> ###### 22) *"Eliminating Background-bias for Robust Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tian_Eliminating_Background-Bias_for_CVPR_2018_paper.pdf)]
> ###### 23) *"Features for Multi-Target Multi-Camera Tracking and Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ristani_Features_for_Multi-Target_CVPR_2018_paper.pdf)]
> ###### 24) *"Multi-shot Pedestrian Re-identification via Sequential Decision Making"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Multi-Shot_Pedestrian_Re-Identification_CVPR_2018_paper.pdf)]
> ###### 25) *"End-to-End Deep Kronecker-Product Matching for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_End-to-End_Deep_Kronecker-Product_CVPR_2018_paper.pdf)]
> ###### 26) *"Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_Deep_Spatial_Feature_CVPR_2018_paper.pdf)]
> ###### 27) *"Resource Aware Person Re-identification across Multiple Resolutions"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Resource_Aware_Person_CVPR_2018_paper.pdf)]
> ###### 28) *"Group Consistent Similarity Learning via Deep CRF for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Group_Consistent_Similarity_CVPR_2018_paper.pdf)]
> ###### 29) *"Person Transfer GAN to Bridge Domain Gap for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Person_Transfer_GAN_CVPR_2018_paper.pdf)]
> ###### 30) *"Exploiting Transitivity for Learning Person Re-identification Models on a Budget"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Roy_Exploiting_Transitivity_for_CVPR_2018_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Viewpoint-Aware_Attentive_Multi-View_CVPR_2018_paper.pdf)]
---
## ICCV2017
- ***Person re-identification***
> ###### 1) *"Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Yu_Cross-View_Asymmetric_Metric_ICCV_2017_paper.pdf)] [[Github](https://github.com/KovenYu/CAMEL)]
> ###### 2) *"Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf)]
> ###### 3) *"SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-based Decisions in Person Re-identification Systems"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Barman_SHaPE_A_Novel_ICCV_2017_paper.pdf)]
> ###### 4) *"Stepwise Metric Promotion for Unsupervised Video Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Stepwise_Metric_Promotion_ICCV_2017_paper.pdf)]
> ###### 5) *"Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Lisanti_Group_Re-Identification_via_ICCV_2017_paper.pdf)]
> ###### 6) *"Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Unlabeled_Samples_Generated_ICCV_2017_paper.pdf)] [[Github](https://github.com/layumi/Person-reID_GAN)]
> ###### 7) *"Dynamic Label Graph Matching for Unsupervised Video Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Ye_Dynamic_Label_Graph_ICCV_2017_paper.pdf)] [[Github](https://github.com/mangye16/dgm_re-id)]
> ###### 8) *"A Two Stream Siamese Convolutional Neural Network For Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Chung_A_Two_Stream_ICCV_2017_paper.pdf)]
> ###### 9) *"Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Learning_View-Invariant_Features_ICCV_2017_paper.pdf)]
> ###### 10) *"Deeply-Learned Part-Aligned Representations for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhao_Deeply-Learned_Part-Aligned_Representations_ICCV_2017_paper.pdf)]
> ###### 11) *"Pose-driven Deep Convolutional Model for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Su_Pose-Driven_Deep_Convolutional_ICCV_2017_paper.pdf)]
> ###### 12) *"Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Jointly_Attentive_Spatial-Temporal_ICCV_2017_paper.pdf)]
> ###### 13) *"Multi-scale Deep Learning Architectures for Person Re-identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Qian_Multi-Scale_Deep_Learning_ICCV_2017_paper.pdf)]
> ###### 14) *"RGB-Infrared Cross-Modality Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_RGB-Infrared_Cross-Modality_Person_ICCV_2017_paper.pdf)]
- ***Vehicle re-identification***
> ###### 1) *"Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Orientation_Invariant_Feature_ICCV_2017_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Neural Person Search Machines"* [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Neural_Person_Search_ICCV_2017_paper.pdf)]
---
## CVPR2017
- ***Person re-identification***
> ###### 1) *"One-Shot Metric Learning for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Bak_One-Shot_Metric_Learning_CVPR_2017_paper.pdf)]
> ###### 2) *"Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Panda_Unsupervised_Adaptive_Re-Identification_CVPR_2017_paper.pdf)]
> ###### 3) *"Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Learning_Deep_Context-Aware_CVPR_2017_paper.pdf)]
> ###### 4) *"Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Beyond_Triplet_Loss_CVPR_2017_paper.pdf)]
> ###### 5) *"Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhao_Spindle_Net_Person_CVPR_2017_paper.pdf)]
> ###### 6) *"Re-Ranking Person Re-Identification With k-Reciprocal Encoding"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhong_Re-Ranking_Person_Re-Identification_CVPR_2017_paper.pdf)]
> ###### 7) *"Scalable Person Re-Identification on Supervised Smoothed Manifold"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Bai_Scalable_Person_Re-Identification_CVPR_2017_paper.pdf)]
> ###### 8) *"Point to Set Similarity Based Deep Feature Learning for Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Point_to_Set_CVPR_2017_paper.pdf)]
> ###### 9) *"Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf)]
> ###### 10) *"See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_See_the_Forest_CVPR_2017_paper.pdf)]
> ###### 11) *"Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf)]
> ###### 12) *"Multiple People Tracking by Lifted Multicut and Person Re-Identification"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf)]
> ###### 13) *"Pose-Aware Person Recognition"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Kumar_Pose-Aware_Person_Recognition_CVPR_2017_paper.pdf)]
> ###### 14) *"Person Re-Identification in the Wild"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zheng_Person_Re-Identification_in_CVPR_2017_paper.pdf)]
- ***Person search (detection + re-id)***
> ###### 1) *"Joint Detection and Identification Feature Learning for Person Search"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Xiao_Joint_Detection_and_CVPR_2017_paper.pdf)]
- ***Person search (language or attribute)***
> ###### 1) *"Person Search with Natural Language Description"* [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Person_Search_With_CVPR_2017_paper.pdf)]
---
## Survey
> ###### 1) *"Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification"*, IJCAI 2020 [[paper](https://arxiv.org/abs/1905.10048)] [[github](https://github.com/lightChaserX/Awesome-Hetero-reID)]
> ###### 2) *"Deep Learning for Person Re-identification: A Survey and Outlook"*, arXiv 2020 [[paper](https://arxiv.org/abs/2001.04193)] [[github](https://github.com/mangye16/ReID-Survey)]
> ###### 3) *"Person search: New paradigm of person re-identification: A survey and outlook of recent works"*, Image and Vision Computing 2020 [[paper](https://www.sciencedirect.com/science/article/pii/S0262885620301025)]
> ###### 4) *"A Survey of Open-World Person Re-identification"*, TCSVT 2019, [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8640834)]
> ###### 5) *"Person Re-identification: Past, Present and Future"*, arXiv 2016 [[paper](https://arxiv.org/pdf/1610.02984.pdf)]
> ###### 6) *"A survey of approaches and trends in person re-identification"*, Image and Vision Computing 2014 [[paper](https://ac.els-cdn.com/S0262885614000262/1-s2.0-S0262885614000262-main.pdf?_tid=de6eee6c-08e6-486c-9d7a-18d2e0c30091&acdnat=1539565884_afc3e4f2e7068a620c9fbfde6129d35d)]
> ###### 7) *"Appearance Descriptors for Person Re-identification: a Comprehensive Review"*, arXiv 2013 [[paper](https://arxiv.org/abs/1307.5748)]
---
## Others
> ###### 1) *"Unsupervised Person Re-identification: Clustering and Fine-tuning"* [[paper](https://arxiv.org/pdf/1705.10444.pdf)] [[Github](https://github.com/hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning)]
- Gait-based approach
These are papers that search for "gait" and "person re-identification" in google scholar.
> ###### 1) *"Person Re-identification by Video Ranking"*, ECCV2014 [[paper](https://link.springer.com/content/pdf/10.1007%2F978-3-319-10593-2_45.pdf)]
> ###### 2) *"Person Re-identification using View-dependent Score-level Fusion of Gait and Color Features"*, ICPR 2012 [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460721)]
> ###### 3) *"Enhancing Person Re-identification by Integrating Gait Biometric"*, Neurocomputing 2015 [[paper](https://ac.els-cdn.com/S0925231215006256/1-s2.0-S0925231215006256-main.pdf?_tid=6d48323a-1f67-4707-baf2-776f9c8d665f&acdnat=1539565898_188b1a8907ebd5c7021ff30d21bf3530)]
> ###### 4) *"A Hierarchical Method Combining Gait and Phase of Motion with Spatiotemporal Model for Person Re-identification"*, Pattern Recognition Letters 2012 [[paper](https://ac.els-cdn.com/S0167865512000359/1-s2.0-S0167865512000359-main.pdf?_tid=003cfe6b-e4c8-44aa-80df-da83ab9aa943&acdnat=1539567285_9d4a214d72f8814b74f326c9dda43f57)]
> ###### 5) *"Person Re-Identification by Discriminative Selection in Video Ranking"*, TPAMI 2016 [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7393860)]
> ###### 6) *"A Spatio-temporal Appearance Representation for Video-based Pedestrian Re-identification"*, ICCV 2015 [[paper](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liu_A_Spatio-Temporal_Appearance_ICCV_2015_paper.pdf)] [[project](http://www.vsislab.com/projects/MLAI/PedestrianRepresentation/)]
> ###### 7) *"Gait-Assisted Person Re-identification in Wide Area Surveillance"*, ACCV 2014 [[paper](https://link.springer.com/content/pdf/10.1007%2F978-3-319-16634-6_46.pdf)]
> ###### 8) *"Person Re-identification by Unsupervised Video Matching"*, Pattern Recognition 2017 [[paper](https://reader.elsevier.com/reader/sd/pii/S0031320316303764?token=F4EC31F9496FAE898967B4C2E36762A0E0F5AF343083EA28318A6DEF29415E18D4A740DA25A16A7B22B36C7704288BA6)]
> ###### 9) *"Swiss-System Based Cascade Ranking for Gait-Based Person Re-identification"*, AAAI 2015 [[paper](https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewFile/9417/9479)]
> ###### 10) *"Person Re-identification using Height-based Gait in Colour Depth Camera"*, ICIP 2013 [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738689)]
> ###### 11) *"Review of person re-identification techniques"*, IET Computer vision 2013 [[paper](http://digital-library.theiet.org/docserver/fulltext/iet-cvi/8/6/IET-CVI.2013.0180.pdf?expires=1539569257&id=id&accname=guest&checksum=768BDC38DF1D86E8455FA599A2083BDA)]
> ###### 12) *"Person Re-identification in Appearance Impaired Scenarios"*, arXiv 2016 [[paper](https://arxiv.org/pdf/1604.00367.pdf)] [[github](https://github.com/NEU-Gou/dynamicreid)]
> ###### 13) *"Learning Compact Appearance Representation for Video-based Person Re-Identification"*, arXiv 2017 [[paper](https://arxiv.org/pdf/1702.06294.pdf)]
> ###### 14) *"Recurrent Attention Models for Depth-Based Person Identification"*, CVPR 2016 [[paper](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Haque_Recurrent_Attention_Models_CVPR_2016_paper.pdf)] [[github](https://github.com/zhengkang86/ram_person_id)]
> ###### 15) *"Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements"*, VISAPP 2017 [[paper](http://vislab.isr.ist.utl.pt/wp-content/uploads/2017/03/nambiar_VISAPP2017.pdf)]
> ###### 16) *"Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image"*, ICACIVS 2016 [[paper](https://link.springer.com/content/pdf/10.1007%2F978-3-319-48680-2_23.pdf)]
> ###### 17) *"Learning Bidirectional Temporal Cues for Video-based Person Re-Identification"*, TCSVT 2016 [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954700)]
> ###### 18) *"Gait-based Person Re-identification, A Survey"*, ACM CSUR 2019 [[paper](http://users.isr.ist.utl.pt/~alex/papers/aha/Nambiar2019_manuscript.pdf)]
> ###### 19) *"Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features"*, CVPR 2020 [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Gait_Recognition_via_Semi-supervised_Disentangled_Representation_Learning_to_Identity_and_CVPR_2020_paper.pdf)]
> ###### 20) *"GaitPart: Temporal Part-Based Model for Gait Recognition"*, CVPR 2020 [[paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Fan_GaitPart_Temporal_Part-Based_Model_for_Gait_Recognition_CVPR_2020_paper.pdf)]
> ###### 21) *"Pedestrian Alignment Network for Large-scale Person Re-Identification"*, TCSVT 2018 [[paper](https://ieeexplore.ieee.org/abstract/document/8481710)][[code](https://github.com/layumi/Pedestrian_Alignment)]
---
## Datasets
- Awesome re-id dataset [[github](https://github.com/NEU-Gou/awesome-reid-dataset)]
- Market-1501 Leaderboard [[page](https://jingdongwang2017.github.io/Projects/ReID/Datasets/result_market1501.html)]
- Duke Leaderboard [[page](https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/leaderboard)]
- Re-id dataset collection [[page](http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/projectpages/reiddataset.html)]
---
## Codes
- Library for deep-learning person re-identification [[Torchreid(pytorch)](https://github.com/KaiyangZhou/deep-person-reid)] [[Openreid(pytorch)](https://github.com/Cysu/open-reid)]
- Person reid baseline [[IDE(Caffe)](https://github.com/zhunzhong07/IDE-baseline-Market-1501)] [[Tricks(pytorch)](https://github.com/michuanhaohao/reid-strong-baseline)] [[Triplet(pytorch)](https://github.com/huanghoujing/person-reid-triplet-loss-baseline)] [[GAN(pytorch)](https://github.com/qiaoguan/Person-reid-GAN-pytorch)] [[GAN(Matlab)](https://github.com/layumi/Person-reID_GAN)] [[FDGAN(pytorch)](https://github.com/yxgeee/FD-GAN)] [[DGNet(pytorch)](https://github.com/NVlabs/DG-Net)]
- Cross modal reid baseline [[Visual-thermal reid(pytorch)](https://github.com/mangye16/Cross-Modal-Re-ID-baseline)]
- Vehicle reid baseline [[Jakel21(pytorch)](https://github.com/Jakel21/vehicle-ReID-baseline)] [[lxc86739795(pytorch)](https://github.com/lxc86739795/vehiclereid_baseline)] [[AICity 2020 Champion(pytorch)](https://github.com/layumi/AICIty-reID-2020)]
- Person reid with Pedestrian alignment [[STN(Matlab)](https://github.com/layumi/Pedestrian_Alignment)]
- 3D Person reid [[Pytorch](https://github.com/layumi/person-reid-3d)]
- Language Person Search [[Matlab](https://github.com/layumi/Image-Text-Embedding)]
- 2stream Person reid [[Matlab](https://github.com/layumi/2016_person_re-ID)]
---
## Reference
https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-re-id.md
---
## README
**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
---
## Search keyword
- person
- identification
- vehicle
- search
---
## Previous change history
### :high_brightness: [Notice]
The github page will be revised largely at 2020 to provide more convenient information. For example changing category, adding ML paper, adding github code, etc.
### :high_brightness: Updated 2023-08-11
- PDF links to all WACV2023 papers have been uploaded.
- PDF links to all CVPR2023 papers have been uploaded.
- Template is updated (The conference list has been changed reversely).
### :high_brightness: Updated 2023-01-01
- ECCV2022 papers are online now [link](https://eccv2022.ecva.net/program/accepted-papers/)
- PDF links to all ECCV2022 papers have been uploaded.
### :high_brightness: Updated 2022-07-14
- CVPR2022 papers are online now [link](https://openaccess.thecvf.com/CVPR2022)
- PDF links to all CVPR2022 papers have been uploaded.
### :high_brightness: Updated 2021-10-23
- ICCV2021 papers are online now [link](https://openaccess.thecvf.com/ICCV2021)
- PDF links to all ICCV2021 papers have been uploaded.
### :high_brightness: Updated 2021-06-20
- CVPR2021 papers are online now [link](https://openaccess.thecvf.com/CVPR2021)
- PDF links to all CVPR2021 papers have been uploaded.
### :high_brightness: Updated 2020-08-26
- The paper links for [ECCV2020 papers](#3-ECCV2020) have been updated.
### :high_brightness: Updated 2020-06-08
- The [CVPR2020 open access](http://openaccess.thecvf.com/CVPR2020.py) is released.
### :high_brightness: Updated 2020-05-20
- The [CVPR2020 papers](#2-CVPR2020) has been updated.
- The CVPR2020 and ICCV2019 papers will be categorized soon.
### :high_brightness: Updated 2020-02-25
- One paper has been included in the ICCV2019 section.
- "Deep Meta Metric Learning"
### :high_brightness: Updated 2019-01-17
- [One survey paper](#2-survey) and its github page has been updated.
- "Deep Learning for Person Re-identification: A Survey and Outlook"
### :high_brightness: Updated 2019-10-25
- The online address of all [ICCV2019 papers](#0-ICCV2019) has been updated.
- The ICCV2019 papers will be categorized soon.
### :high_brightness: Updated 2019-09-02
- The [accepted ICCV2019 papers](#0-ICCV2019) on arXiv will continue to be updated.
- I searched 11 papers to date.
- The papers have not been categorized yet.
### :high_brightness: Updated 2019-08-09
- Useful baseline codes have been linked to the "[Code](#8-codes)" section
### :high_brightness: Updated 2019-07-23
- The paper has been moved to the "unsupervised" section.
- "Adaptive Transfer Network for Cross-Domain Person Re-Identification", CVPR 2019
### :high_brightness: Updated 2019-07-09
- The paper has been included in the survey section.
- "A Survey of Open-World Person Re-identification"
- My new github page has been released. [[Awesome-cross-modality-person-re-identification](https://github.com/bismex/Awesome-cross-modality-person-re-identification)]
### :high_brightness: Updated 2019-07-04
- The below paper has been re-categorized and updated (github).
- "Joint Discriminative and Generative Learning for Person Re-identification"
### :high_brightness: Updated 2019-06-15
- The CVPR papers have been categorized.
### :high_brightness: Updated 2019-06-14
- Two papers have been included.
- "Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification"
- "Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification"
### :high_brightness: Updated 2019-06-12
- The online address of all CVPR2019 papers has been updated.
- The CVPR2019 papers will be categorized soon.
### :high_brightness: Updated 2019-06-03
- The github page for "Query-guided End-to-End Person Search" has been updated.
- The github page for "Dissecting Person Re-identification from the Viewpoint of Viewpoint" has been updated.
**I will immediately reflect the matter if it should be corrected. I hope this github page helps many people with research purposes.**