Jason Corso

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.

The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

Voxel51 uses AI processing to identify and track objects and activities through video clips.

Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.

The most exciting use of AI for me focuses around a better collective use of our available resources, says Prof. Corso.

Kyle Min researches how computer vision can analyze law enforcement body cameras.

Congratulations to these recipients of the EECS Outstanding Achievement Award

DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

The center, to be built on North Campus, will offer state-of-the-art facilities in a 3-story, 100,000 square foot building.

Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.

These faculty deepen ECE’s areas of expertise in computer vision, communications and information theory, environmental remote sensing, and laser-plasma interactions.