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

Abstract: Autonomous driving of bicycles and motorcycles represents a critical advancement in intelligent transportation systems. To address the functional limitations of existing two-wheeled robots ...

Abstract: Accurate forest change detection (CD) is crucial for ecosystem health monitoring, deforestation and degradation assessment, and sustainable large-scale forest management. However, forest ...