Abstract: Digital camera sensors may struggle to capture images in low-light environments, resulting in lower brightness and contrast levels, color degradation, undesirable characteristics, and noise.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Abstract: Classification of electroencephalogram-based motor imagery (MI-EEG) tasks is crucial in brain–computer interface (BCI). EEG signals require a large number of channels in the acquisition ...
KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...
This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...
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