Abstract: Gaussian process regression (GPR) models are becoming increasingly tightly integrated into robotic systems, particularly in the context of robot model predictive control (MPC) operating in ...
Abstract: Detecting anomalies in multi-channel time series is crucial for ensuring security and reliability in domains such as cybersecurity and industrial IoT. In this paper, we propose a novel ...
In this project, we are implementing a visual computing pipeline to reconstruct a 3D scene from a multi-view image sequence using 3D Gaussian Splatting. The system will transform 2D image frames into ...
This project is based on the official implementation associated with the paper "3D Gaussian Splatting for Real-Time Radiance Field Rendering", which can be found here. Abstract: *Most existing 3D ...
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