no code implementations • 20 Oct 2023 • Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sebastien Martin, Vijay Narasiman, Zhiwei, Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett van Ryzin, Di wu, Fei Yu, Alex Zamoshchin
This change was the first documented implementation of a ridesharing matching algorithm that can learn and improve in real time.
1 code implementation • 22 Aug 2022 • Hyungjun Lee, Sejoon Lim
The performance of PU-MFA was compared with other state-of-the-art methods through various experiments using the PU-GAN dataset, which is a synthetic point cloud dataset, and the KITTI dataset, which is the real-scanned point cloud dataset.
Ranked #1 on Point Cloud Super Resolution on PU-GAN
1 code implementation • 20 Jul 2022 • Hyungjun Lee, Hwangyu Lim, Sejoon Lim
With the improved performance of deep learning, the number of studies trying to apply deep learning to human emotion analysis is increasing rapidly.
1 code implementation • 23 Jul 2019 • Giovanni Pizzi, Valerio Vitale, Ryotaro Arita, Stefan Blügel, Frank Freimuth, Guillaume Géranton, Marco Gibertini, Dominik Gresch, Charles Johnson, Takashi Koretsune, Julen Ibañez-Azpiroz, Hyungjun Lee, Jae-Mo Lihm, Daniel Marchand, Antimo Marrazzo, Yuriy Mokrousov, Jamal I. Mustafa, Yoshiro Nohara, Yusuke Nomura, Lorenzo Paulatto, Samuel Poncé, Thomas Ponweiser, Junfeng Qiao, Florian Thöle, Stepan S. Tsirkin, Małgorzata Wierzbowska, Nicola Marzari, David Vanderbilt, Ivo Souza, Arash A. Mostofi, Jonathan R. Yates
Wannier90 is an open-source computer program for calculating maximally-localised Wannier functions (MLWFs) from a set of Bloch states.
Materials Science Computational Physics