Scholar
Anthony Fuller
Google Scholar ID: 9NvupxcAAAAJ
PhD Student, Carleton University / Vector Institute
Self-supervised learning
Transformers
Multimodal
Computer Vision
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Homepage
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Citations & Impact
All-time
Citations
224
H-index
6
i10-index
6
Publications
12
Co-authors
5
list available
Contact
Email
anthonydavidfuller@gmail.com
GitHub
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Publications
3 items
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
2026
Cited
0
Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
2025
Cited
0
Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease
2024
Cited
0
Resume (English only)
Academic Achievements
Simpler Fast Vision Transformers with a Jumbo CLS Token, arXiv, 2025
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision, NeurIPS, 2025
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities, ICML, 2025
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate, NeurIPS, 2024
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders, NeurIPS, 2023
SatViT: Pretraining Transformers for Earth Observation, IEEE Geoscience and Remote Sensing Letters, 2022
Co-authors
5 total
James R Green
Professor, Systems and Computer Engineering, Carleton University
Co-author 2
Evan Shelhamer
UBC / Vector Institute / CIFAR AI Chair
Co-author 4
Yousef Yassin
Carleton University
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