1 code implementation • 4 Dec 2023 • Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo
Given a clothing image and a person image, an image-based virtual try-on aims to generate a customized image that appears natural and accurately reflects the characteristics of the clothing image.
1 code implementation • NeurIPS 2021 Track Datasets and Benchmarks 2022 • Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Saebyeol Shin, Minha Kim, Donghee Hong, Simon S. Woo
Accordingly, detection of these anomalous events is of paramount importance for a number of applications, including but not limited to CCTV surveillance, security, and health care.
Ranked #1 on Anomaly Detection In Surveillance Videos on VFP290K
no code implementations • 18 Feb 2021 • Hamid Reza Rasouli, Jeongho Kim, Naveed Mehmood, Ali Sheraz, Min-kyung Jo, Seungwoo Song, Kibum Kang, T. Serkan Kasırga
Two-dimensional (2D) materials are suitable hosts for the intercalation of extrinsic guest ions such as Li+, Na+ and K+ as the interlayer coupling is weak.
Materials Science Applied Physics
no code implementations • 12 Jan 2021 • Jeongho Kim, David Poyato, Juan Soler
Inertial effects of momentum and internal variable in the kinetic species disappear for strong relaxation, whereas a nontrivial dynamics for the internal variable appears for weak relaxation.
Analysis of PDEs 92D25, 74A25, 76N10
1 code implementation • 27 Oct 2020 • Jeongho Kim, Jaeuk Shin, Insoon Yang
In this paper, we propose Q-learning algorithms for continuous-time deterministic optimal control problems with Lipschitz continuous controls.
no code implementations • L4DC 2020 • Jeongho Kim, Insoon Yang
The performance of the proposed Q-learning algorithm is demonstrated using 1-, 10- and 20-dimensional dynamical systems.