Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds Abstract: In recent years we can find a multitude of approaches that aim to return the 3D pose of the hands. ... The ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Convolutional neural networks (CNNs) have demonstrated highly effective performance in image classification across a range of data sets. The best performance can only be obtained with CNNs when the ...

Improving Convolutional Neural Networks at the Edge Sept. 15, 2022 Artificial intelligence and more specifically, machine learning, with human augmentation requires a thorough strategy to achieve ...

Low latency inference has many applications in edge machine learning. In this paper, we present a run-time configurable convolutional neural network (CNN) inference ASIC design for low-latency edge ...