Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …

Deep learning techniques have led to remarkable breakthroughs in the field of generic
object detection and have spawned a lot of scene-understanding tasks in recent years …

Abstract We present the All-Seeing Project V2: a new model and dataset designed for
understanding object relations in images. Specifically, we propose the All-Seeing Model V2 …

We propose to compose dynamic tree structures that place the objects in an image into a
visual context, helping visual reasoning tasks such as scene graph generation and visual …

Scene graph generation (SGG) aims to detect objects in an image along with their pairwise
relationships. There are three key properties of scene graph that have been underexplored …

In compositional zero-shot learning, the goal is to recognize unseen compositions (eg old
dog) of observed visual primitives states (eg old, cute) and objects (eg car, dog) in the …

Scene graphs---objects as nodes and visual relationships as edges---describe the
whereabouts and interactions of objects in an image for comprehensive scene …

Scene graph generation refers to the task of automatically mapping an image into a
semantic structural graph, which requires correctly labeling each extracted object and their …

Image manipulation can be considered a special case of image generation where the image
to be produced is a modification of an existing image. Image generation and manipulation …

We seek to detect visual relations in images of the form of triplets t=(subject, predicate,
object), such as" person riding dog", where training examples of the individual entities are …