Cross-modality person re-identification (cm-ReID) is a challenging but key technology for
intelligent video analysis. Existing works mainly focus on learning modality-shared …

Text-to-image person re-identification (TIReID) is a compelling topic in the cross-modal
community which aims to retrieve the target person based on a textual query. Although …

Long-term re-id with clothes change is a challenging problem in surveillance AI. Currently,
its major bottleneck is that this field is still missing a large realistic benchmark. In this work …

Although a significant progress has been witnessed in supervised person re-identification
(re-id), it remains challenging to generalize re-id models to new domains due to the huge …

Recent self-supervised contrastive learning provides an effective approach for unsupervised
person re-identification (ReID) by learning invariance from different views (transformed …

Although person re-identification has achieved an impressive improvement in recent years,
the common occlusion case caused by different obstacles is still an unsettled issue in real …

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 …

Heterogeneous pedestrian images are captured by visible and infrared cameras with
different spectrums, which play an important role in night-time video surveillance. However …

The main challenge of Temporal Action Localization is to retrieve subtle human actions from
various co-occurring ingredients, eg, context and background, in an untrimmed video. While …

Visible-infrared person re-identification (RGB-IR ReID) has now attracted increasing
attention due to its surveillance applications under low-light environments. However, the …