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

Abstract: The multimodal remote sensing image matching is crucial for many applications. However, nonlinear intensity distortion (NID) significantly impairs matching performance, especially when ...

Abstract: Visible-infrared person re-identification (VI-ReID) is a challenging person retrieval task under two different modality cameras, due to the large gap between visible and infrared images and ...