Changbeom Kang

TL;DR: In this article, an end-to-end deep learning-based image signal processing (ISP) pipeline that can replace classical hand-crafted ISPs and achieve nearly real-time performance on smartphone NPUs was developed.

TL;DR: In this article, the authors introduced the first Mobile AI challenge, where the target is to develop an end-to-end deep learning-based image denoising solution that can demonstrate high efficiency on smartphone GPUs.

TL;DR: A simple and unsupervised method for automated well logs correlation with cutting-edge machine learning techniques is proposed and a time-series alignment concept to well logsrelation is introduced, which can deal with multiple well logs of different lengths.

TL;DR: In this article, the authors introduced the first Mobile AI challenge, where the target is to develop an end-to-end deep learning-based image denoising solution that can demonstrate high efficiency on smartphone GPUs.

TL;DR: In this article, an end-to-end deep learning-based image signal processing (ISP) pipeline that can replace classical hand-crafted ISPs and achieve nearly real-time performance on smartphone NPUs was developed.