SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding
Deep Neural Networks (DNNs) have demonstrated remarkable success; however, their
increasing model size poses a challenge due to the widening gap between model size and …
increasing model size poses a challenge due to the widening gap between model size and …
A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation
Point clouds are an important form of 3D data used in applications such as computer vision
and autonomous driving, but the irregular and disordered nature of point clouds makes …
and autonomous driving, but the irregular and disordered nature of point clouds makes …
A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS
Recently, point-based point cloud neural networks have been applied to various 3D point
cloud scenarios. Among them, transformer-based point cloud neural networks achieve state …
cloud scenarios. Among them, transformer-based point cloud neural networks achieve state …
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information
In point cloud video recognition (PVR) tasks, deep neural networks (DNNs) have been
widely adopted to enhance accuracy. However, real-time processing is hindered due to the …
widely adopted to enhance accuracy. However, real-time processing is hindered due to the …
Improving autonomous driving systems with CPU extensions for point cloud processing
PH Exenberger Becker - 2024 - upcommons.upc.edu
(English) Autonomous Driving Systems (ADS) are at the cusp of large-scale adoption,
promising accident reduction and market potential. However, the complex software and …
promising accident reduction and market potential. However, the complex software and …