Cloth_Change_Person_reID_Paper_List
Paper collection for cloth variation based person re-identification
Survey papers on person re-identification
Ye, Mang, et al. "Deep Learning for Person Re-identification: A Survey and Outlook." arXiv preprint arXiv:2001.04193 (2020). [Paper]
Benchmark Datasets
- COCAS dataset, cvpr-2020, [Paper]
- LTCC dataset, arXiv-2020, [Paper] [Project]
- Celeb-reID-light, IJCNN-2019, [Paper] [Dataset]
- Celeb-reID, T-CSVT 2019, [Paper] [Code] [Dataset]
- VC-Clothes && Real28, arXiv-2020, [Paper] [Project]
- PRCC dataset, T-PAMI, 2019, [Paper] [Dataset]
- Last dataset, T-CSVT 2021, [Project] [Paper] [Github]
Paper List
Year 2022
- Clothes-Changing Person Re-identification with RGB Modality Only, Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen, Accepted by CVPR 2022 [Paper] [Code]
Year 2021
Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification, Xiujun Shu; Ge Li; Xiao Wang; Weijian Ruan; Qi Tian, IEEE Signal Processing Letters (2021), [Paper] [Code]
Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification, Peixian Hong, Tao Wu, Ancong Wu, Xintong Han, Wei-Shi Zheng; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 10513-10522 [Paper] [Supp]
Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark, Xiujun Shu*, Xiao Wang*, Shiliang Zhang, Xianghao Zhang, Yuanqi Chen, Ge Li, and Qi Tian (* denotes Equal Contribution), IEEE TCSVT 2021,[Paper]
Long-term Person Re-identification: A Benchmark, Peng Xu Xiatian Zhu, [Paper]
Unsupervised Long-Term Person Re-Identification with Clothes Change, Mingkun Li Peng Xu* Xiatian Zhu, Jun Guo, [Paper]
Year 2020
Wang, K., Ma, Z., Chen, S., Yang, J., Zhou, K., & Li, T. A benchmark for clothes variation in person re‐identification. International Journal of Intelligent Systems. [Paper] [Dataset]
Wan, Fangbin, et al. "When Person Re-identification Meets Changing Clothes." CVPR Workshop 2020. [Paper] [Project] [Dataset]
Yu, Shijie, et al. "COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification." arXiv preprint arXiv:2005.07862 (2020). [Paper] [Dataset]
Li, Yu-Jhe, et al. "Learning Shape Representations for Clothing Variations in Person Re-Identification." arXiv preprint arXiv:2003.07340 (2020). [Paper]
Qian, Xuelin, et al. "Long-Term Cloth-Changing Person Re-identification." ACCV (2020). [Paper] [Project]
Year 2019
Huang, Yan, et al. "Celebrities-ReID: A Benchmark for Clothes Variation in Long-Term Person Re-Identification." 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. [Paper]
Yang, Qize, Ancong Wu, and Wei-Shi Zheng. "Person Re-identification by Contour Sketch under Moderate Clothing Change." IEEE Transactions on Pattern Analysis and Machine Intelligence (2019). [Paper] [Dataset]
Huang, Yan, et al. "Beyond Scalar Neuron: Adopting Vector-Neuron Capsules for Long-Term Person Re-Identification." IEEE Transactions on Circuits and Systems for Video Technology (2019). [Paper] [Code]
Fine-Grained Person Re-identification, Jiahang Yin, Ancong Wu, Wei-Shi Zheng, [Paper] [Project-page]
Year 2018 and Before
Xue, Jia, et al. "Clothing change aware person identification." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2018. [Paper]
Zhang, Peng, et al. "Long-term person re-identification using true motion from videos." 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018. [Paper]
RGB-D for Cloth-change reID
Barbosa, Igor Barros, et al. "Re-identification with rgb-d sensors." European Conference on Computer Vision. Springer, Berlin, Heidelberg, 2012. [Paper]
Munaro, Matteo, et al. "3D reconstruction of freely moving persons for re-identification with a depth sensor." 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. [Paper]
Haque, Albert, Alexandre Alahi, and Li Fei-Fei. "Recurrent attention models for depth-based person identification." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016. [Paper]