5 papers
Multigranular Evaluation for Brain Visual Decoding
Weihao Xia, Cengiz Oztireli
Existing evaluation protocols for brain visual decoding predominantly rely on coarse metrics that obscure inter-model differences, lack neuroscientific foundation, and fail to capt…
Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops
Madeleine Darbyshire, Shaun Coutts, Eleanor Hammond +6
As the burden of herbicide resistance grows and the environmental costs of excessive herbicide use become clear, new approaches to managing weed populations are needed. This is par…
Exploring The Visual Feature Space for Multimodal Neural Decoding
Weihao Xia, Cengiz Oztireli
The intrication of brain signals drives research that leverages multimodal AI to align brain modalities with visual and textual data for explainable descriptions. However, most exi…
UMBRAE: Unified Multimodal Brain Decoding
Weihao Xia, Raoul de Charette, Cengiz Ãztireli +1
We address prevailing challenges of the brain-powered research, departing from the observation that the literature hardly recover accurate spatial information and require subject-s…
DREAM: Visual Decoding from Reversing Human Visual System
Weihao Xia, Raoul de Charette, Cengiz Ãztireli +1
In this work we present DREAM, an fMRI-to-image method for reconstructing viewed images from brain activities, grounded on fundamental knowledge of the human visual system. We craf…