We explore the task of recognizing peoples' identities in photo albums in an unconstrained
setting. To facilitate this, we introduce the new People In Photo Albums (PIPA) dataset …

Person re-identification (Re-ID), for matching pedestrians across non-overlapping camera
views, has made great progress in supervised learning with abundant labelled data …

Solving the problem of matching people across non-overlapping multi-camera views, known
as person re-identification (re-id), has received increasing interests in computer vision. In a …

Re-identification of people in surveillance footage must cope with drastic variations in color,
background, viewing angle and a person's pose. Supervised techniques are often the most …

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 …

In this paper, we present a spatial-temporal attention-aware learning (STAL) method for
video-based person re-identification. Most existing person re-identification methods …

Online tracking of multiple objects in videos requires strong capacity of modeling and
matching object appearances. Previous methods for learning appearance embedding …

Person re-identification, a branch of image retrieval, is an increasingly important public
safety application. When monitoring larger areas, it is crucial to correctly match the same …

Existing person re-identification methods conventionally rely on labelled pairwise data to
learn a task-specific distance metric for ranking. The value of unlabelled gallery instances is …

Most existing person re-identification (ReID) methods rely only on the spatial appearance
information from either one or multiple person images, whilst ignore the space-time cues …