Abstract: Point cloud compression has emerged as a hot research topic in recent years. Due to applications such as autonomous driving, LiDAR point cloud compression is an important research aspect of ...

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Overview: This repository contains the code for the paper DualRefine, a self-supervised depth and pose estimation model. It refines depth and pose estimates by computing matching costs based on ...

Enterprise AI is moving from isolated pilots to production-grade, agent-centric systems. The principles below distill the most widely posted requirements and trends in large-scale deployments, based ...

Abstract: Deep learning (DL)-based point cloud (PC) classification is a key computer vision task for many applications, notably autonomous driving, surveillance, and cultural heritage. In many ...

Given CpGPT's generative capabilities, we have implemented an analogous version of the chain-of-thought used in NLP tasks but for the reconstruction of methylation patterns. For more information about ...