Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Separating balanced motions (BM) from unbalanced motions (UBM) in single sea surface height (SSH) snapshots is crucial for maximizing Surface Water and Ocean Topography (SWOT) altimeter ...

Abstract: In this letter, a method based on an encoder–decoder fully convolutional network is proposed for the efficient synthesis of planar arrays fulfilling user-defined beampattern masks. The ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

TAEHV is a Tiny AutoEncoder for Hunyuan Video (and other similar video models). TAEHV can encode and decode latents into videos more cheaply (in time & memory) than the full-size video VAEs, at the ...