Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Person search has become one of the most critical and challenging applications in today's
video surveillance systems. It helps in locating a person in surveillance videos, which is …

Text-based Person Retrieval aims to search the target pedestrian image from video
surveillance or a large image database with a text description. Previous works have …

Visible-infrared person re-identification (VI-ReID) is challenging due to considerable cross-
modality discrepancies. Existing works mainly focus on learning modality-invariant features …

Human action understanding is a fundamental and challenging task in computer vision.
Although there exists tremendous research on this area, most works focus on action …

Human re-identification (re-ID) is nowadays among the most popular topics in computer
vision, due to the increasing importance given to safety/security in modern societies. Being …

Diffusion-based re-ranking is a common method used for retrieving instances by performing
similarity propagation in a nearest neighbor graph. However, existing techniques that …

Patent retrieval has been attracting tremendous interest from researchers in intellectual
property and information retrieval communities in the past decades. However, most existing …

Person re-identification (Re-ID) is a classical computer vision task and has significant
applications for public security and information forensics. Recently, long-term Re-ID with …

Deep learning has dramatically advanced computer vision tasks, including person re-
identification (re-ID), substantially improving matching individuals across diverse camera …