Anthony Fuller

I am a 3rd/final-year Ph.D. student at Carleton University supervised by Jim Green (from Carleton) and Evan Shelhamer (from UBC / Vector Institute). I am interested in deep learning, specifically, computer vision, self-supervised learning, transformers, and applications (e.g., remote sensing and biomedical). I have an M.A.Sc. in Systems and Computer Engineering (2023) and a B.Eng. in Aerospace Engineering (2015), both from Carleton.

anthonydavidfuller@gmail.com / Google Scholar / GitHub

Anthony Fuller

Selected Publications

co-first author / co-last author
  • Simpler Fast Vision Transformers with a Jumbo CLS Token
    Anthony Fuller, Yousef Yassin, Daniel G. Kyrollos, Evan Shelhamer, James R. Green
    arXiv, 2025
    arXiv / code
  • LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
    Anthony Fuller, Yousef Yassin, Junfeng Wen, Daniel G. Kyrollos, Tarek Ibrahim, James R. Green, Evan Shelhamer
    arXiv, 2025
    arXiv / code
  • Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
    Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick
    ICML, 2025
    arXiv / code
  • LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
    Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin, James R. Green
    NeurIPS, 2024
    arXiv / code
  • CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
    Anthony Fuller, Koreen Millard, James R. Green
    NeurIPS, 2023
    arXiv / code
  • SatViT: Pretraining Transformers for Earth Observation
    Anthony Fuller, Koreen Millard, James R. Green
    IEEE Geoscience and Remote Sensing Letters, 2022
    link / code