Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

Entangled representation of clothing and identity (ID)-intrinsic clues are potentially
concomitant in conventional person Re-IDentification (ReID). Nevertheless, eliminating the …

Daytime visible modality (RGB) and night-time infrared (IR) modality person re-identification
(VI-ReID) is a challenging cross-modality pedestrian retrieval problem. However, training a …

Recent person Re-IDentification (ReID) systems have been challenged by changes in
personnel clothing, leading to the study of Cloth-Changing person ReID (CC-ReID) …

Cloth-changing Person Re-Identification (CC-ReID) is a challenging task that aims to
retrieve the target person across multiple surveillance cameras when clothing changes …

Video captioning aims to generate natural language sentences that describe the given video
accurately. Existing methods obtain favorable generation by exploring richer visual …

For the long-term person re-identification (ReID) task, pedestrians are likely to change
clothes, which poses a key challenge in overcoming drastic appearance variations caused …

Action recognition is intended to classify a video into a certain category by aggregating and
summarizing its temporal and spatial information. Existing methods have achieved …

Abstract Clothes-Changing Person Re-Identification is a challenging problem in computer
vision, primarily due to the appearance variations caused by clothing changes across …

Abstract Traditional approaches for Person Re-identification (Re-ID) rely heavily on
modeling the appearance of persons. This measure is unreliable over longer durations due …