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Abstract: Vision-centric Bird’s Eye View (BEV) perception holds considerable promise for autonomous driving. Recent studies have prioritized efficiency or accuracy enhancements, yet the issue of ...
Abstract: Accurate multi-view 3D object detection is essential for applications such as autonomous driving. Researchers have consistently aimed to leverage LiDAR’s precise spatial information to ...
Previous research has investigated the application of Multimodal Large Language Models (MLLMs) in understanding 3D scenes by interpreting them as videos. These approaches generally depend on ...
3D computer vision enables us to understand the spatial arrangement, orientation, shape, and volumetric characteristics of objects in the 3D world, leading to high-level semantic insights. This ...
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2D geometric morphometric methods based on photographs or X-ray images are well established to quantify shape variation in single structures or overall body morphology (Zelditch et al., 2004; Lawing & ...
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