Abstract: Self-supervised learning has achieved significant success in various fields such as point cloud detection and segmentation. However, self-supervised learning for point cloud registration is ...
Abstract: With recent success of deep learning in 2-D visual recognition, deep-learning-based 3-D point cloud analysis has received increasing attention from the community, especially due to the rapid ...
Abstract: Point cloud semantic segmentation for railway infrastructures is an essential step towards establishing railway digital twins. Deep learning-based methods have shown great potential in this ...
Nearly half of 12th-graders in the U.S. test "below basic" in math, and Harvard professor of economics Roland Fryer says it's no mystery how to reverse the trend. What's missing is leadership. The ...
Abstract: Monocular 3-D object detection is a fundamental but very important task to many applications including autonomous driving, robotic grasping, and augmented reality. Existing leading methods ...
Mr. Della Volpe is the director of polling at the Harvard Kennedy School Institute of Politics. The fatal shooting of Charlie Kirk is both a human tragedy and a political inflection point. His ...
Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...
Abstract: Learning signed distance functions (SDFs) from point clouds is an important task in 3D computer vision. However, without ground truth signed distances, point normals or clean point clouds, ...
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