Abstract: Human body motion segmentation plays a major role in many applications, ranging from computer vision to robotics. Among a variety of algorithms, graph-based approaches have demonstrated ...

An artistic depiction of retinal imaging to detect and predict cerebrovascular diseases, including silent brain infarction and future stroke events. A network of retinal blood vessels is highlighted.

Abstract: Accurately predicting the trajectories of surrounding agents is critically important for the safe operation of autonomous vehicles. However, complex environments not only increase the ...

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Our Structure from Motion approach, named Graph Structure from Motion (GraphSfM), is aimed at large scale 3D reconstruction. Besides, we aimed at exploring the computation ability of computer and ...

The implementation of STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising in ISMAR 2021. We propose a method for denoising hand motion data in mixed reality using a spatial-temporal ...