Seminal work on proving the block model threshold conjecture [2] has provided rigorous conditions under which community detection is theoretically feasible. Such results are critical as they ...

However, as imaging techniques move from single to multimodality, using object detection algorithms to detect RGB and TIR modalities simultaneously in real -time is a significant challenge. This study ...

This work studies and addresses this often overlooked problem by proposing Multimodal PointPillars (M-PP), a fast and effective novel fusion architecture for 3D object detection. Inspired by both ...

This project focuses on using multimodal data sources for the detection and diagnosis of depression. We utilize image, text, audio, and EEG signal data to explore how deep learning can be applied in ...

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