Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...

In this work, we introduce DINOv, a Visual In-Context Prompting framework for referring and generic segmentation tasks. For visualization and demos, we also recommend trying T-Rex demo link, which is ...

An app with a simple purpose: more advanced app installs without needing to use ADB. Install with Options uses Shizuku to run with shell permissions, allowing you to install test-only apps, bypass ...

Abstract: Deep Convolutional Neural Networks (CNNs) have recently demonstrated impressive results in electroencephalogram (EEG) decoding for several Brain-Computer Interface (BCI) paradigms, including ...