Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Discover how to learn the basics of 3D modeling over the course of one week. The video outlines a step-by-step approach suitable for newcomers eager to understand digital design. Whether you're ...
ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
New search for missing Malaysia Airlines plane MH370 after 11 years Scientists discovered the tunnels of a possibly unknown ancient lifeform This simple firewood trick made a huge difference in our ...
Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Abstract: In this paper, we propose a long-sequence modeling framework, named StreamPETR, for multi-view 3D object detection. Built upon the sparse query design in the PETR series, we systematically ...