Hyewon Seo
Scholar

Hyewon Seo

Google Scholar ID: UO_URksAAAAJ
CNRS-Univ of Strasbourg
Computer graphicsDeep learningComputer vision
Citations & Impact
All-time
Citations
454
 
H-index
12
 
i10-index
17
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Authored about 60 published articles in international journals and conferences, 4 book chapters, and 3 patents. Served on several editorial boards for international journals, including being an associate editor-in-chief of The Visual Computer journal (Springer Nature) from 2016 to 2020. Participated in organizing several international conferences such as Eurographics 2014 and Computer Graphics International 2015. Elected member of the national committee of CNRS from 2012 to 2016.
Research Experience
  • From 2004 to 2009, served as an assistant professor in the Computer Science and Engineering Department at Chungnam National University, South Korea, where she supervised the Computer Graphics Laboratory until moving to France. Since 2016, has been a CNRS Research Director at ICube, Université de Strasbourg; also an affiliated professor at POSTECH, South Korea since 2016.
Education
  • Educated in South Korea, holding BSc and MSc degrees in Computer Science from the Korea Advanced Institute of Science and Technology (KAIST). Obtained PhD degree at the University of Geneva (MIRALab) in 2004.
Background
  • Research interests center around 3D/4D shape analysis (such as shape similarity, segmentation, correspondence finding, etc.) and modeling (representation, reconstruction, etc.), with a focus on human data. Also worked on data-driven (learning-based) methods for shape estimation and motion generation, texture mapping, and sketch-based shape reconstruction.
Miscellany
  • Since 2021, co-leads a new research team - Machine Learning, Modeling & Simulation (MLMS). Recent achievements include publishing a paper on gait video analysis in IEEE Journal of Biomedical and Health Informatics and contributing a multi-site anonymized clinical dataset for Parkinson's disease gait assessment accepted to NeurIPS.