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Will Beddow

2 accepted papers

2026

Scaling Vision Transformers for Functional MRI with Flat Maps

ICML 2026poster

We propose a simple strategy for training a foundation model on functional MRI (fMRI) data: we adapt the standard Vision Transformer to fMRI by first converting each 3D fMRI volume to a 2D map using a standard cortical flat map projection. We train spatiotemporal masked autoencoders (MAE) on 2.3K ho…

Cited by 2SourceScholar
2025

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

ICCV 2025poster

We introduce Lumina-Image 2.0, an advanced text-to-image (T2I) model that surpasses previous state-of-the-art methods across multiple benchmarks. Lumina-Image 2.0 is characterized by two key features: (1) Unification - it adopts a unified architecture (Unified Next-DiT) that treats text and image to…