Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …

Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …

The key to address clothes-changing person re-identification (re-id) is to extract clothes-
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …

Different from general face recognition, age-invariant face recognition (AIFR) aims at
matching faces with a big age gap. Previous discriminative methods usually focus on …

Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …

Unsupervised domain adaptive person Re-IDentification (ReID) is challenging because of
the large domain gap between source and target domains, as well as the lackage of labeled …

While video-based person re-identification (Re-ID) has drawn increasing attention and
made great progress in recent years, it is still very challenging to effectively overcome the …

This paper aims to address the problem of pre-training for person re-identification (Re-ID)
with noisy labels. To setup the pre-training task, we apply a simple online multi-object …

In recent years, algorithms for multiple object tracking tasks have benefited from great
progresses in deep models and video quality. However, in challenging scenarios like drone …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …