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Abstract: In this work, we present a novel multi-modal, end-to-end, marker-free motion capture framework designed to estimate the six degrees of freedom (6-DoF) states of objects. Traditional motion ...

Abstract: Camouflaged object detection (COD) aims to segment objects that visually blend into their surroundings. However, the subtle differences between camouflaged objects and the background make ...

Recent Multimodal Large Language Models (MLLMs) are remarkable in vision-language tasks, such as image captioning and question answering, but lack the essential perception ability, i.e., object ...