Abstract: This paper presents an innovative approach for personalized modeling of Head-Related Transfer Functions (HRTFs) using deep neural networks (DNNs), with a primary focus on addressing ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: Point cloud upsampling can improve the quality of the initial point cloud, significantly enhancing the performance of downstream tasks such as classification and segmentation. Existing ...