Exploring Computer Vision Models and Developing Infrastructure for OCR and Image Clustering

PI: Thomas Lippincott (Assistant Research Professor, and Director of Digital Humanities, Alexander Grass Humanities Institute | Assistant Research Professor, Department of Computer Science | Research Scientist, Human Language Technology Center of Excellence)

Co-Is: Patesede Makonnen, Richard Essam, and Ben Allsopp

A major unexplored axis is how deep neural models from computer vision can benefit humanistic research dealing with images. In collaboration with graduate students and faculty in the Departments of Art History, English, and Near Eastern Studies, the CDH will develop and experiment with mechanisms to allow individual researchers to explore bespoke image collections using pre-trained models. The infrastructure common to tasks such as handwriting recognition and visual inter-textuality detection will lay the groundwork for further exploration of the most promising directions that emerge.


Thomas Lippincott's Headshot
Thomas Lippincott

Dr. Lippincott is structuring the Center for Digital Humanities (CDH) to create productive relationships between active scholarship in the humanities and machine learning.


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