The amount and complexity of information produced in science, engineering, business, and everyday human activity is increasing at staggering rates. The goal of this course is to expose you to visual representation methods and techniques that increase the understanding of complex data. Good visualizations not only present a visual interpretation of data, but do so by improving comprehension, communication, and decision making. The survey is available on our Canvas page.

Assistant Professor of Computer Science. Assistant Professor of Computer Science. Assistant Professor of Computer Science. Estimating Geographic Information from a Single Image. Image Sequence Geolocation with Human Travel Priors. A platform built for museums for viewing large, digitized artworks in a novel fashion. A small team collaboration scenario that takes advantage of the Sharp Interactive Whiteboard.

Dense automatic neuron reconstruction from electron microscopy images. Visual representations of abstract data to reinforce human cognition. Our research in visual computing lies at the intersection of visualization, computer graphics, and computer vision. It spans a wide range of topics, including bio-medical visualization, image and video analysis, 3D fabrication, and data science. Exhibition at ISCP in New York.

I am a postdoctoral researcher working on user-centric video processing with Christian Theobalt. At the Intel Visual Computing Institute. And also in the Graphics, Vision and Video. Group at Max-Planck-Institut für Informatik. I was previously a postdoc in the REVES. France, working with George Drettakis. And I interned with Alexander Sorkine-Hornung. I graduated with a PhD and BA from the University of Cambridge. Was supervised by Neil Dodgson.