Abstract: In autonomous vehicle, the traditional method of manually labeling laser point cloud data is not only expensive, but also complex in process. To overcome these challenges, a laser point ...
Abstract: Current advances have enhanced the efficiency and availability of 3D data processing and scene understanding technologies, which confirms the pivotal status of point cloud data structure in ...
Abstract: In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from other ...
Abstract: The recent advancements in the surging field of Deep Learning (DL) have revolutionized every sphere of life, and the healthcare domain is no exception. The enormous success of DL models, ...
Abstract: Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth ...
Abstract: The intellectual property of deep networks can be easily “stolen” by surrogate model attack. There has been significant progress in protecting the model IP in classification tasks. However, ...
Abstract: AI-powered image analysis is a transformative technology with immense potential to enhance diagnostics and patient care. Accurate medical image assessment plays a crucial role in disease ...
BROADVIEW, Ill. — A woman handed out Taylor Swift-style friendship bracelets with a number for protesters to call if they are arrested. Other demonstrators held signs declaring “ICE out of Chicago” ...
Abstract: Loop closure detection (LCD) plays a crucial role in simultaneous localization and mapping (SLAM) systems to eliminate accumulated odometry drifts as the map is built, and using multi-modal ...
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