Attention mechanisms are now widely used in image captioning models. However, most
attention models only focus on visual features. When generating syntax related words, little …

Existing vision-based smoke recognition methods still face the issues of low detection rates
and high false alarm rates in complex scenes. One reason is that they label light smoke and …

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 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 …

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 aims to associate the video clips of the same person
across multiple non-overlapping cameras. Spatial-temporal representations can provide …

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 …

Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-
identification (Re-ID) is achieved by projecting them into a common space, allowing person …