Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild

By Mang Ye, Xiangyuan Lan, Pong Chi Yuen. 2018

111 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Jianbing Shen
2. Ling Shao
3. Mang Ye
4. Tao A. Xiang
5. Steven C. H. Hoi
6. Gaojie Lin
7. Liang Zheng
8. Yi Yang

In Computer Vision and Pattern Recognition

1. Ling Shao
2. Jianbing Shen
3. Steven C. H. Hoi
4. Luc Van Gool
5. Tao A. Xiang
6. Dacheng Tao
7. Wenguan Wang
8. Ming-Hsuan Yang

Citations in the corpus

• Unsupervised Embedding Learning via Invariant and Spreading Instance Feature (2019, neutral): “nearest neighbor search [46, 48, 50].”
• Deep Learning for Person Re-Identification: A Survey and Outlook (2020, methodology): “An affine hull is adopted to handle the outlier frames within the video sequence [76].”
• Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification (2020, unknown): “Recently, end-to-end deep learning [30]–[33] has achieved”
• A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification (2019, unknown): “There are also some recent works (Liu, Wang, and Lu 2017; Ye et al. 2017; Ye, Lan, and Yuen 2018) focusing on the un-supervised video-based re-ID.”