no code implementations • 10 Nov 2023 • Hakdong Kim, MinSung Yoon, Cheongwon Kim
We experimentally demonstrate and discuss the relationship between the central angle and the quality of digital holographic content.
no code implementations • 26 Sep 2023 • Hakdong Kim, Minkyu Jee, Yurim Lee, Kyudam Choi, MinSung Yoon, Cheongwon Kim
In preparation for observing holographic 3D content, acquiring a set of RGB color and depth map images per scene is necessary to generate computer-generated holograms (CGHs) when using the fast Fourier transform (FFT) algorithm.
no code implementations • 7 Dec 2021 • Yurim Lee, Gydam Choi, MinSung Yoon, Cheongwon Kim
A genetic algorithm is suitable for exploring large search spaces as it finds an approximate solution.
no code implementations • 6 Dec 2021 • Kyudam Choi, Yurim Lee, Cheongwon Kim, MinSung Yoon
We propose an effective method to improve Protein Function Prediction (PFP) utilizing hierarchical features of Gene Ontology (GO) terms.
Hierarchical Multi-label Classification Language Modelling +1
no code implementations • 9 Mar 2021 • Hakdong Kim, Heonyeong Lim, Minkyu Jee, Yurim Lee, Jisoo Jeong, Kyudam Choi, MinSung Yoon, Cheongwon Kim
In this paper, we propose a novel, convolutional neural network model to extract highly precise depth maps from missing viewpoints, especially well applicable to generate holographic 3D contents.