Home > Profiles > Walter Scheirer

Walter Scheirer

Walter Scheirer

Email: walter.scheirer@nd.edu

Phone: 574-631-2436

Office: 182D Fitzpatrick Hall of Engineering

Education

Ph.D., Engineering, University of Colorado, 2009

M.S., Computer Science, Lehigh University, 2006

B.A., Computer Science and International Relations, Lehigh University, 2004

Biography

My research is primarily focused around the problem of recognition, including the representations and algorithms supporting solutions to it. I am particularly interested in features and learning-based methods that apply to both vision and language, thus breaking away from the persistent compartmentalization of recognition tasks (something hinted at by David Marr over 30 years ago). This has led to some interesting, and often unconventional approaches that can be applied to a broad set of areas including computer vision, machine learning, human biometrics, and the digital humanities. Specifically, my work is looking at open set recognition, extreme value theory models for visual recognition, biologically-inspired learning algorithms, and stylometry.

Summary of Activities/Interests

Primary interests in Computer Vision, Machine Learning, Biometrics,and Digital Humanities. Specific areas of research include Open Set Recognition, Extreme Value Theory Models for Visual Recognition, Biologically-inspired Learning Algorithms, and Stylometry.

News

Researchers develop early warning system to fight disinformation online

March 24, 2020

Two computer science and engineering faculty members and a doctoral student in peace studies are using artificial intelligence to develop an early warning system that will identify manipulated images, deepfake videos and disinformation online.

Researchers develop early warning system to fight disinformation online

March 24, 2020

Two computer science and engineering faculty members and a doctoral student in peace studies are using artificial intelligence to develop an early warning system that will identify manipulated images, deepfake videos and disinformation online.

A new AI early warning system to combat disinformation and prevent violence previewed in the Bulletin of Atomic Scientists

March 16, 2020

Participation in a panel discussion on the ethics of AI led to a collaboration between two computer science and engineering faculty members and a doctoral candidate in theology and peace studies about the possible intersections between seemingly diverse fields. They have now developed an AI early warning system to help combat disinformation and prevent violence.

COVE: A Tool for Advancing Progress in Computer Vision

October 6, 2016

Computer vision is integral to many forms of artificial intelligence, with applications ranging from the critical (autonomous vehicles recognizing pedestrians), to useful (finding a video to show you how to cook your next delicacy), to just fun (searching for images of a recent family vacation). Recent technical advances in computer vision have revealed that a sure pathway to continued progress in the field lies in easy access to a massive network of reliable and diverse open source datasets. Unfortunately, nothing like this currently exists.