Visual reasoning between visual images and natural language remains a long-standing
challenge in computer vision. Conventional deep supervision methods target at finding …

Semantic image understanding is a challenging topic in computer vision. It requires to detect
all objects in an image, but also to identify all the relations between them. Detected objects …

Visual reasoning between visual images and natural language is a long-standing challenge
in computer vision. Most of the methods aim to look for answers to questions only on the …

Video Visual Relation Detection (VidVRD) aims at detecting the relation instances between
two observed objects in the form of subject-predicate-object. Unlike image visual relation …

Video visual relation inference refers to the task of automatically detecting the relation
triplets between the observed objects in videos with the form of, which requires correctly …

Scene graph generation aims to provide a semantic and structural description of an image,
denoting the objects (with nodes) and their relationships (with edges). The best performing …

Nowadays, three challenges should be considered in order to build a strong model that is
used to extract and semantically interpret the relationship between objects in images …