8 citations · 16 across the 4 of their papers we have counts for
5 papers
Multi-user Reset Controller for Redirected Walking Using Reinforcement Learning
Ho Jung Lee, Sang-Bin Jeon, Yong-Hun Cho +1
The reset technique of Redirected Walking (RDW) forcibly reorients the user's direction overtly to avoid collisions with boundaries, obstacles, or other users in the physical space…
Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks
Tae Min Lee, Young Jin Oh, In-Kwon Lee
Cloth simulation requires a fast and stable method for interactively and realistically visualizing fabric materials using computer graphics. We propose an efficient cloth simulatio…
Hierarchical Cloth Simulation using Deep Neural Networks
Young Jin Oh, Tae Min Lee, In-Kwon Lee
Fast and reliable physically-based simulation techniques are essential for providing flexible visual effects for computer graphics content. In this paper, we propose a fast and rel…
Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks
Hye-Rin Kim, Yeong-Seok Kim, Seon Joo Kim +1
An image is a very effective tool for conveying emotions. Many researchers have investigated in computing the image emotions by using various features extracted from images. In thi…
An optical image encryption scheme based on depth-conversion integral imaging and chaotic maps
Xiaowei Li, Chengqing Li, Seok-Tae Kim +1
Integral imaging-based cryptographic algorithms provides a new way to design secure and robust image encryption schemes. In this paper, we introduce a performance-enhanced image en…