Chris Thomas

Ph.D. Student
5404 Sennott Square
Department of Computer Science
University of Pittsburgh

Curriculum Vitae·  Google Scholar


I am a Ph.D. student in the Department of Computer Science at the University of Pittsburgh. My research is in computer vision, a sub-area of the broad field of artificial intelligence. My research interests can be broadly categorized as visual recognition, high-level image understanding, and their interplay with top-down attention. I am advised by Professor Adriana Kovashka.

Previously, I worked as part of the Keystone Design Group with Professors Donald Chiarulli and Steven Levitan from the Department of Electrical and Computer Engineering on designing algorithms to be accelerated on exotic hardware architectures as part of the five-year NSF Expedition in Computing, Visual Cortex on Silicon.

Selected Projects

Lewis Hine Photograph (Hunter)
Seeing Behind the Camera: Identifying the Authoriship of a Photograph
(CVPR 2016)
Christopher Thomas and Adriana Kovashka
We propose the novel problem of photographer authoriship classification and provide a large dataset and CNN trained from scratch for this task.
Project Page (contains paper, supplementary material, dataset, and trained CNN).
OpenSALICON Saliency Map
OpenSALICON: An Open Source Implementation of the Salicon Saliency Model
Technical Report (2016)
Christopher Thomas
We provide an open source implementation of the SALICON saliency algorithm, one of the top-performing saliency algorithms on the MIT 300 saliency benchmark.
GitHub Page (contains technical report and code) and Pre-trained Models.