Microsoft introduced a new video series that teaches Java developers how to build generative AI applications using modern tools and frameworks.
Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...
Abstract: Sampling-based planning algorithms like Rapidly-exploring Random Tree (RRT) are versatile in solving path planning problems. RRT* offers asymptotic optimality but requires growing the tree ...
Abstract: The growth of 3D point cloud applications requires efficient compression techniques for high-quality and low-latency services. Recently, learning-based point cloud compression models have ...
Abstract: With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened the storage and transmission process. Traditional hybrid point cloud compression (PCC) tools ...
Abstract: Obtaining an on-orbit space camera’s point spread function (PSF) is challenging but necessary for remote sensing image (RSI) restoration. Current methods rely on regular ground targets, ...
Abstract: During tunnel boring machine (TBM) excavation, rock mucks will be produced by rock-machine interaction and shipped out of tunnels. The morphology characteristics of rock mucks are essential ...
Abstract: When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and ...
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Knife Making: Full Tang Clip Point Knife
Watch the step-by-step creation of a full tang clip point knife featuring zebrawood scales and durable 1070 high carbon steel. GOP, Thune surprise Democrats, daring them to block defense spending bill ...
Abstract: Self-supervised models are shaping the future of point cloud processing by minimizing reliance on labeled data and addressing the challenges associated with point cloud annotation.
Abstract: Point cloud analysis (such as 3D segmentation and detection) is a challenging task, because of not only the irregular geometries of many millions of unordered points, but also the great ...
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