Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3165758
Abstract: The neural style transfer has achieved a significant improvement with deep learning methods. However, the existing methods are susceptible to lack the ability for handling the texture style transfer because of their less consideration of… read more here.
Keywords: style; adaptive auto; auto correlation; style transfer ... See more keywords
Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3325630
Abstract: Stencil computations are widely used in high performance computing (HPC) applications. Many HPC platforms utilize the high computation capability of GPUs to accelerate stencil computations. In recent years, stencils have become more diverse in terms… read more here.
Keywords: stencil; auto tuning; tuning framework; optimization ... See more keywords