Clothing Attributes Assisted Person Reidentification

By Annan Li, Luoqi Liu, Kang Wang, Si Liu, Shuicheng Yan. 2015

108 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Kimmo Kärkkäinen
2. Jungseock Joo
3. Yun Raymond Fu
4. Zaid Khan

Citations in the corpus

• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age (2019, background): “Attributes are also widely used for person re-identification in images or videos, combining features from human face and body appearance [33, 34, 53], especially effective when faces are not fully visible or too small.”
• Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network (2015, unknown): “Attribute-based representations have also shown compelling results for matching images of people across domains [37, 29].”
• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation (2021, background): “Face attribute recognition has been applied as a sub-component to other computer vision tasks such as face ver-ification [31] and person re-idenfication [33, 34, 55].”