Fine-grained object classification attracts increasing attention in multimedia applications.
However, it is a quite challenging problem due to the subtle interclass difference and large …

Video-based person re-identification (re-id) is a central application in surveillance systems
with a significant concern in security. Matching persons across disjoint camera views in their …

Abstract Pedestrian Attribute Recognition (PAR) is an important task in computer vision
community and plays an important role in practical video surveillance. The goal of this paper …

With the rapid expansion of online shopping for fashion products, effective fashion
recommendation has become an increasingly important problem. In this work, we study the …

This paper aims at developing an integrated system for clothing co-parsing (CCP), in order
to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic …

Person re-identification, aiming to identify images of the same person from various cameras
configured in different places, has attracted much attention in the multimedia retrieval …

Unsupervised domain adaptation (UDA) aims to mitigate the domain shift that occurs when
transferring knowledge from a labeled source domain to an unlabeled target domain. While …

In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which
only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels …

Relative attribute (RA) learning aims to learn the ranking function describing the relative
strength of the attribute. Most of current learning approaches learn a linear ranking function …

Vision-based person re-identification aims to match a person's identity across multiple
images, which is a fundamental task in multimedia content analysis and retrieval. Deep …