Amid a wave of Canada-wide unity, Alberta separatists push back

Alberta separatists are taking their message on the road, campaigning across the province for an independence referendum ...
GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...
IEEE

Multiple-Input Floating-Point Adders: A Comprehensive Review

Abstract: Floating-point addition is pivotal in various computational applications, including scientific computing, machine learning, and graphics processing. Traditional two-input floating-point ...
IEEE

LV: Latency-Versatile Floating-Point Engine for High-Performance Deep Neural Networks

Abstract: Computing latency is an important system metric for Deep Neural Networks (DNNs) accelerators. To reduce latency, this work proposes LV, a latency-versatile floating-point engine (FP-PE), ...