Seonguk Seo CV Scholar Soundcloud

I am a third-year graduate student in Computer Vision Lab. under the supervision of Prof. Bohyung Han. My research interests lie in reliable deep learning, transfer learning, and recently focus on multi-modal learning. I am also interested in ambient music production, brand experience design, and interactive media art. I was worked at Adobe Research as a research intern with Joon-Young Lee.


[July, 2020] Our two papers about transfer learning and video understanding are accepted to ECCV 2020!

[June, 2020] My new synthwave track decoherence is released. Featured at GlitchTape

Seonguk ยท Decoherence

Education

Seoul National University Mar, 2018 ~ Current Ph.D. Student, Computer Vision Lab.
POSTECH Mar, 2010 ~ Feb, 2018 B.S, Valedictorian and Summa Cum Laude
TU Berlin Mar, 2017 ~ Aug, 2017 Visiting Student
Seoul Science High School Mar, 2007 ~ Feb, 2010

Work Experiences

Adobe Research Research Intern Aug, 2019 ~ Oct, 2019 San Jose, CA, USA
VCNC Software Engineer Mar, 2014 ~ Feb, 2016 Seoul, Korea

Publications

2020
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
Seonguk Seo, Joon-Young Lee, Bohyung Han
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, Bohyung Han (*equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
Seonguk Seo*, Paul Hongsuck Seo*, Bohyung Han (*equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019

Awards and Honors

Youlchon AI Scholarship Aug, 2020 Financial Aid
Visual Domain Adaptation Challenge (VisDA-19) Nov, 2019 ICCV 2019, 3rd Place Winner
Samsung AI Forum 2019 Best Poster Award Nov, 2019 Best Award with a Prize (from Yoshua Bengio)
Samsung AI Forum 2018 Best Poster Award Sep, 2018 Best Award with a Prize (from Yann Lecun)