Neural Network Interpretation via Fine Grained Textual Summarization. - Pei Guo; Connor Anderson 001; Kolten Pearson; Ryan Farrell (CoRR, 2018)

When the How Outweighs the What: the Pivotal Importance of Context. - Cole A. Lyman; Connor Anderson 001; Matthew C. Morris; Umesh K. Nandal; Marianna J. Martindale; Mark J. Clement; Gordon Broderick (BIBM, 2019)

A Hybrid Approach to Tiger Re-Identification. - Ankita Shukla; Connor Anderson 001; Gullal Singh Cheema; Pei Guo; Suguru Onda; Divyam Anshumaan; Saket Anand; Ryan Farrell (ICCV Workshops, 2019)

Facing the Hard Problems in FGVC. - Connor Anderson 001; Matthew Gwilliam; Adam Teuscher; Andrew Merrill; Ryan Farrell (CoRR, 2020)

Have Fun Storming the Castle(s)! - Connor Anderson 001; Adam Teuscher; Elizabeth Anderson; Alysia Larsen; Josh Shirley; Ryan Farrell (WACV, 2021)

Fair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization. - Matthew Gwilliam; Adam Teuscher; Connor Anderson 001; Ryan Farrell (WACV, 2021)

Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization. - Matthew Gwilliam; Adam Teuscher; Connor Anderson 001; Ryan Farrell (CoRR, 2021)

Improving Fractal Pre-training. - Connor Anderson 001; Ryan Farrell (WACV, 2022)

Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition. - Connor Anderson 001; Matthew Gwilliam; Evelyn Gaskin; Ryan Farrell (WACV, 2024)