Curriculum learning (CL) is a training strategy that trains a machine learning model from
easier data to harder data, which imitates the meaningful learning order in human curricula …

Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

Training machine learning models in a meaningful order, from the easy samples to the hard
ones, using curriculum learning can provide performance improvements over the standard …

Abstract The problem of Multiple Object Tracking (MOT) consists in following the trajectory of
different objects in a sequence, usually a video. In recent years, with the rise of Deep …

Person re-identification (re-ID) and attribute recognition share a common target at learning
pedestrian descriptions. Their difference consists in the granularity. Most existing re-ID …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Person re-identification (ReID) is a challenging problem, where global features of person
images are not enough to solve unaligned image pairs. Many previous works used human …

Person re-identification (ReID) is a challenging task due to arbitrary human pose variations,
background clutters, etc. It has been studied extensively in recent years, but the multifarious …

Person re-identification (Re-ID) has undergone a rapid development with the blooming of
deep neural network. Most methods are very easily affected by target misalignment and …

Abstract Person Re-Identification (Re-Id) is a challenging task focusing on identifying the
same person among disjoint camera views. A number of deep learning algorithms have …