This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
PartField is a feedforward model that predicts part-based feature fields for 3D shapes. Our learned features can be clustered to yield a high-quality part decomposition, outperforming the latest ...
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