Visual computing is a generic term for all computer science disciplines dealing with images and 3D models, such as computer graphics, image processing, visualization, computer vision, virtual and …

Modern visual computing stands at the convergence of graphics (generative, simulation, rendering), vision (analysis, perception, scene understanding) and AI (representation learning, generative …

Visual computing is an emerging discipline that combines computer graphics and computer vision to advance technologies for the capture, processing, display and perception of visual information.

Computer Vision is an exciting research area that studies how to make computers efficiently perceive, process, and understand visual data such as images and videos.

Visual Computing is a field that combines computer graphics, computer vision, and machine learning to create and analyze visual representations of data, aiming to enhance human-computer interaction …

Creating and analyzing data from the visual world, and visually understanding complex data. From computer graphics to data visualization, computers play an increasingly important role in how we see …

Much of the exciting research in visual computing focuses on jointly designing and optimizing all stages of an end-to-end system. This section provides two concrete examples.

Visual Computing is a broad field in computer science that focuses on the processing and analysis of visual data using computer resources. This field includes many different sciences such as computer …

Visual Computing refers to the use of techniques such as information and scientific visualization, and visual analytics to facilitate data-driven analysis and decision-supports in various fields, including …

The Brown Visual Computing group develops technology to make and make sense of visual data. We leverage both principled physical models and data-driven methods to synthesize, edit, and explain …