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Journal Articles
- 2024
[j8]Hyomin Kim, Gyunam Park, Minsu Cho
:
Unlocking learner engagement and performance: A multidimensional approach to mapping learners to learning cohorts. Educ. Inf. Technol. 29(17): 23817-23857 (2024)- 2022
- [j7]Sungmin Cho, Hyeseong Kim, Ji Soo Kim, Hyomin Kim, Junseok Kwon:
Adversarial attack can help visual tracking. Multim. Tools Appl. 81(24): 35283-35292 (2022) - [j6]Jungeon Kim, Hyomin Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee:
TextureMe: High-Quality Textured Scene Reconstruction in Real Time. ACM Trans. Graph. 41(3): 24:1-24:18 (2022) - [j5]Hyomin Kim, Hyeonseo Nam, Jungeon Kim, Jaesik Park, Seungyong Lee:
LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction. ACM Trans. Graph. 41(6): 216:1-216:14 (2022) - 2021
- [j4]Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee:
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. Comput. Graph. Forum 40(2): 523-535 (2021) - [j3]Hyomin Kim, Woosung Yang:
Variable Admittance Control Based on Human-Robot Collaboration Observer Using Frequency Analysis for Sensitive and Safe Interaction. Sensors 21(5): 1899 (2021) - [j2]Sooho Choi, Hyomin Kim, Hyungjoo Kim, Woosung Yang:
A Development of the Self Shape Adjustment Cushion Mechanism for Improving Sitting Comfort. Sensors 21(23): 7959 (2021) - 2019
- [j1]Jungeon Kim, Hyomin Kim, Jaesik Park, Seungyong Lee:
Global Texture Mapping for Dynamic Objects. Comput. Graph. Forum 38(7): 697-705 (2019)
Conference and Workshop Papers
- 2024
- [c9]Hyomin Kim, Yucheol Jung, Seungyong Lee:
Discontinuity-preserving Normal Integration with Auxiliary Edges. CVPR 2024: 11915-11923 - [c8]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. ICML 2024 - [c7]Wonjong Jang, Yucheol Jung, Hyomin Kim, Gwangjin Ju, Chaewon Son, Jooeun Son, Seungyong Lee:
Toonify3D: StyleGAN-based 3D Stylized Face Generator. SIGGRAPH (Conference Paper Track) 2024: 17 - 2023
- [c6]Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee:
Mesh Density Adaptation for Template-based Shape Reconstruction. SIGGRAPH (Conference Paper Track) 2023: 53:1-53:10 - 2022
- [c5]Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon:
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds. NeurIPS 2022 - 2021
- [c4]Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee:
Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021: 11595-11605 - 2019
- [c3]Hannah Hyejin Kum-Biocca, Hyomin Kim, Frank A. Biocca, Yeonhee Cho:
AR-VIS: Augmented Reality Interactive Visualization Environment for Exploring Dynamic Scientific Data. HCI (37) 2019: 374-380 - 2018
- [c2]Hyomin Kim, Jaesung Kwon, Yonghwan Oh, Bum-Jae You, Woosung Yang:
Weighted Hybrid Admittance-Impedance Control with Human Intention Based Stiffness Estimation for Human-Robot Interaction. IROS 2018: 1-6 - 2017
- [c1]Inhye Lee, Hyomin Kim:
Spatial Magnetic Field Visualization: Interactive Kinetic Art Installation Driven by the Invisible Forces of Magnetic Fields. ACM Multimedia 2017: 571-573
Informal and Other Publications
- 2024
- [i8]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. CoRR abs/2402.05965 (2024) - [i7]Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeeseung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, Jinhong Kim, Jinuk Kim, Dokyeong Lee, Dong Wook Park, Jeong Min Sohn, Sujung Han, Jiae Heo, Sungju Hong, Mina Jeon, Hyunhoon Jung, Jungeun Jung, Wangkyo Jung, Chungjoon Kim, Hyeri Kim, Jonghyun Kim, Min Young Kim, Soeun Lee, Joonhee Park, Jieun Shin, Sojin Yang, Jungsoon Yoon, Hwaran Lee, Sanghwan Bae, Jeehwan Cha, Karl Gylleus, Donghoon Ham, Mihak Hong, Youngki Hong, Yunki Hong, Dahyun Jang, Hyojun Jeon, Yujin Jeon, Yeji Jeong, Myunggeun Ji, Yeguk Jin, Chansong Jo, Shinyoung Joo, Seunghwan Jung, Adrian Jungmyung Kim, Byoung Hoon Kim, Hyomin Kim, Jungwhan Kim, Minkyoung Kim, Minseung Kim, Sungdong Kim, Yonghee Kim, Youngjun Kim, Youngkwan Kim, Donghyeon Ko, Dughyun Lee, Hayoung Lee, Jaehong Lee, Jieun Lee, Jonghyun Lee, Jongjin Lee, Min Young Lee, Yehbin Lee, Taehong Min, Yuri Min, Kiyoon Moon, Hyangnam Oh, Jaesun Park, Kyuyon Park, Younghun Park, Hanbae Seo, Seunghyun Seo, Mihyun Sim, Gyubin Son, Matt Yeo, Kyung Hoon Yeom, Wonjoon Yoo:
HyperCLOVA X Technical Report. CoRR abs/2404.01954 (2024) - [i6]Hyomin Kim, Yucheol Jung, Seungyong Lee:
Discontinuity-preserving Normal Integration with Auxiliary Edges. CoRR abs/2404.03138 (2024) - 2023
- [i5]Hyomin Kim, Hyeonseo Nam, Jungeon Kim, Jaesik Park, Seungyong Lee:
LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction. CoRR abs/2302.14251 (2023) - [i4]Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee:
Mesh Density Adaptation for Template-based Shape Reconstruction. CoRR abs/2307.16205 (2023) - 2021
- [i3]Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee:
Deep Virtual Markers for Articulated 3D Shapes. CoRR abs/2108.09000 (2021) - [i2]Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee:
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. CoRR abs/2108.09007 (2021) - 2020
- [i1]Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020)
Coauthor Index
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