Email:
LinkedIn: https://www.linkedin.com/in/loganfrank
GitHub: https://www.github.com/loganfrank
Google Scholar: https://scholar.google.com/citations?user=--1OGZUAAAAJ&hl=en
I am a fifth year PhD student in the Department of Computer Science and Engineering at Ohio State University working in the Computer Vision Laboratory under Dr. Jim Davis. My dissertation topic is in the area of investigating methods for circumventing the need for real-world samples in data-scare scenarios, particularly for vision-related tasks.
Previously I have been funded by the Air Force Research Laboratory Sensors Directorate (RYAT). Additionally, I have worked with the Department of Food, Agricultural, and Biological Engineering at Ohio State.
News:
11/2023: This upcoming summer I will be interning with General Electric (GE) Aerospace Research under Dr. Paul Ardis!
10/2023: 1 paper, "Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images", uploaded to arXiv
05/2023: This summer I will be interning with the Air Force Research Laboratory under Dr. Christopher Liberatore!
07/2022: 1 paper, "Revisiting Batch Norm Initialization", accepted to ECCV 2022! (28.4% Acceptance)
10/2021: 1 paper, "Revisiting Batch Normalization", uploaded to arXiv
09/2020: I passed my qualification exams!
08/2020: 1 paper, "Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses", accepted to WACV 2021! (35.4% Acceptance)