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 …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

The person re-identification task requires to robustly estimate visual similarities between
person images. However, existing person re-identification models mostly estimate the …

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 proposes the Global-Local Temporal Representation (GLTR) to exploit the multi-
scale temporal cues in video sequences for video person Re-Identification (ReID). GLTR is …

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 …

Video person re-identification (re-ID) plays an important role in surveillance video analysis.
However, the performance of video re-ID degenerates severely under partial occlusion. In …

Due to the imperfect person detection results and posture changes, temporal appearance
misalignment is unavoidable in video-based person re-identification (ReID). In this case, 3D …

Video-based person re-identification (reID) aims to retrieve person videos with the same
identity as a query person across multiple cameras. Spatial and temporal distractors in …