178 citations · 285 across the 4 of their papers we have counts for
4 papers
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng, Xiangzeng Zhou, Liming Zhao +5
In many real-world datasets, like WebVision, the performance of DNN based classifier is often limited by the noisy labeled data. To tackle this problem, some image related side inf…
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
Dangwei Li, Xiaotang Chen, Zhang Zhang +1
Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background…
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
Kai Yu, Biao Leng, Zhang Zhang +2
State-of-the-art methods treat pedestrian attribute recognition as a multi-label image classification problem. The location information of person attributes is usually eliminated o…
A Richly Annotated Dataset for Pedestrian Attribute Recognition
Dangwei Li, Zhang Zhang, Xiaotang Chen +2
In this paper, we aim to improve the dataset foundation for pedestrian attribute recognition in real surveillance scenarios. Recognition of human attributes, such as gender, and cl…