Abstract: 3D object detectors based on LiDAR have been extensively used in autonomous and robotic systems. Efficient voxel-based models must downsample their feature space to reduce computation, which ...
Abstract: Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However ...
Abstract: We propose a multipoint-to-point all-optical channel aggregation scheme using Talbotbased processing and power-division multiplexing, enhancing scalability of uplink traffic in a coherent ...
Abstract: Recently, point cloud processing is becoming popular in AI-driven areas as 3D scanners are developing rapidly. However, this kind of data can have a massive file size, causing significant ...
Abstract: As the integration of renewable energy sources (RES) such as wind and solar power into the power grid increases, the primary challenge lies in the high integration costs and the complexity ...
SINGAPORE, SINGAPORE, SINGAPORE, March 1, 2026 /EINPresswire.com/ — As the generative AI market hurtles toward a projected $1 trillion valuation by the end of 2026 ...
Abstract: In this paper, a Backward Attentive Fusing Network with Local Aggregation Classifier (BAF-LAC) is proposed to improve the performance of 3D point cloud semantic segmentation. It consists of ...
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Abstract: We propose a new algorithm to detect facial points in frontal and near-frontal face images. It combines a regression-based approach with a probabilistic graphical model-based face shape ...
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