Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Image segmentation refers to the process to divide an image into meaningful non-
overlapping regions according to human perception, which has become a classic topic since …

We propose a novel scene graph generation model called Graph R-CNN, that is both
effective and efficient at detecting objects and their relations in images. Our model contains …

Understanding a visual scene goes beyond recognizing individual objects in isolation.
Relationships between objects also constitute rich semantic information about the scene. In …

Visual relationships capture a wide variety of interactions between pairs of objects in images
(eg “man riding bicycle” and “man pushing bicycle”). Consequently, the set of possible …

Relationships among objects play a crucial role in image understanding. Despite the great
success of deep learning techniques in recognizing individual objects, reasoning about the …

Generating scene graph to describe all the relations inside an image gains increasing
interests these years. However, most of the previous methods use complicated structures …

Research in texture recognition often concentrates on the problem of material recognition in
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …

In this paper we study the role of context in existing state-of-the-art detection and
segmentation approaches. Towards this goal, we label every pixel of PASCAL VOC 2010 …

Understanding the visual relationship between two objects involves identifying the subject,
the object, and a predicate relating them. We leverage the strong correlations between the …