1 code implementation • 19 Mar 2024 • Seongjae Min, Junseok Yang, Sangjun Lim, Junyong Lee, Sangwon Lee, Sejoon Lim
In recent years, deep learning has achieved innovative advancements in various fields, including the analysis of human emotions and behaviors.
no code implementations • 14 Jan 2023 • Miryeong Kwon, Junhyeok Jang, Hanjin Choi, Sangwon Lee, Myoungsoo Jung
This paper proposes TRAININGCXL that can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low overhead.
no code implementations • 23 Jan 2022 • Miryeong Kwon, Donghyun Gouk, Sangwon Lee, Myoungsoo Jung
In contrast to traditional deep learning, unique behaviors of the emerging GNNs are engaged with a large set of graphs and embedding data on storage, which exhibits complex and irregular preprocessing.
no code implementations • CVPR 2021 • Kinam Kwon, Eunhee Kang, Sangwon Lee, Su-Jin Lee, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han
However, this causes inevitable image degradation in the form of spatially variant blur and noise because of the opaque display in front of the camera.
no code implementations • 28 Jan 2021 • Sangwon Lee, Vipul Periwal, Junghyo Jo
At the initial iteration of the EM algorithm, the model inference shows better model-data consistency with observed data points than with missing data points.
no code implementations • 26 May 2020 • Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, Byungsoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data.