Abstract: With the growing demand for high-quality 3D content in future wireless networks, minimizing energy consumption for 3D object reconstruction and transmission under strict performance ...
Abstract: The rise of autonomous vehicles has significantly increased the demand for robust 3D object detection systems. While cameras and LiDAR sensors each offer unique advantages—cameras provide ...
This repository provides the official implementation of "MonoCLUE: Object-Aware Clustering Enhances Monocular 3D Object Detection" based on the excellent work MonoDGP. In this work, we propose a ...
CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on ...
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