PeopleofSuperintelligence

Researcher

Anthony Fuller

Anthony Fuller is a computer vision researcher whose work applies self-supervised learning and vision transformers to remote sensing and adaptive image and video recognition. He earned a B.Eng. in Aerospace Engineering at Carleton in 2015, received the Vector Scholarship in Artificial Intelligence in 2022, and completed an M.A.Sc. in Systems and Computer Engineering there in 2023. In 2023, he coauthored CROMA, which combines contrastive and reconstruction objectives to learn representations from spatially aligned optical and radar data; his 2024 LookHere paper uses 2D attention masks to direct vision-transformer attention and improve extrapolation to higher-resolution images. LookWhere in 2025 divides image computation between a low-resolution selector and a high-resolution extractor, while LookWhen in 2026 uses a selector-extractor framework for video recognition. Since September 2026, he is a Vector Distinguished Postdoctoral Fellow in Graham Taylor's Machine Learning Research Group at the University of Guelph; he worked as a Vector intern in 2025 and completed a Ph.D. at Carleton and the Vector Institute in 2026.

Works
20
Citations
130
h-index
3

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2015

    Aerospace engineering at Carleton

    At Carleton University, he earns a B.Eng. in Aerospace Engineering in 2015.

  2. 2022–2023

    The Vector scholarship and master's degree

    He receives the Vector Scholarship in Artificial Intelligence in 2022 while studying for a master's at Carleton. He earns an M.A.Sc. in Systems and Computer Engineering there in 2023.

  3. 2023

    CROMA for remote sensing

    In 2023, he coauthors CROMA, which combines contrastive and reconstruction objectives to learn representations from spatially aligned optical and radar data.

  4. 2024

    Directed attention in LookHere

    In 2024, he coauthors LookHere, which uses 2D attention masks to direct vision-transformer attention and improve extrapolation to higher-resolution images.

  5. 2025

    Vector internship and LookWhere

    He works as a Vector intern in 2025 and coauthors LookWhere. The paper divides image computation between a low-resolution selector and a high-resolution extractor.

  6. 2026

    A Carleton and Vector doctorate

    In 2026, he completes a Ph.D. at Carleton University and the Vector Institute under Jim Green and Evan Shelhamer.

  7. 2026

    LookWhen for video recognition

    In 2026, he coauthors LookWhen, which uses a selector-extractor framework to factor video recognition into when, where, and what to compute.

  8. September 2026

    A Guelph postdoctoral fellowship

    In September 2026, he joins Graham Taylor's Machine Learning Research Group at the University of Guelph as a Vector Distinguished Postdoctoral Fellow.

Career

  1. From 2026University of GuelphVector Distinguished Postdoctoral Fellow
  2. 2025Vector InstituteIntern

Education

  1. 2026Carleton UniversityPh.D.
  2. 2026Vector InstitutePh.D.
  3. 2023Carleton UniversityM.A.Sc.
  4. 2015Carleton UniversityB.Eng.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Carleton University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Carleton University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Carleton University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Anthony Fuller yet. Send us a free-licensed photo.

  1. Anthony Fuller — Academic Website antofuller.github.io. Checked 22 October 2026.
  2. Congratulations to the 2022-23 Vector Scholarship in Artificial Intelligence Recipients! - Systems and Computer Engineering carleton.ca. Checked 22 October 2026.
  3. [2311.00566] CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders arxiv.org. Checked 22 October 2026.
  4. [2405.13985] LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate arxiv.org. Checked 22 October 2026.
  5. Evan Shelhamer imaginarynumber.net. Checked 22 October 2026.
  6. [2505.18051] LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision arxiv.org. Checked 22 October 2026.
  7. Anthony Fuller - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 22 October 2026.
  8. [2605.06809] LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute arxiv.org. Checked 22 October 2026.
  9. Graham Taylor — Machine Learning Research Group, University of Guelph gwtaylor.ca. Checked 22 October 2026.