Jaedong Hwang

Master's Student

Electrical and Computer Engineering

Seoul National University

: jd730snu.ac.kr

: jd730  : jaedong_hwang


I am a master's student at Computer Vision Lab (advisor: Prof. Bohyung Han), Seoul National University (SNU). From June 2020 to March 2021, I am doing an internship at Adobe Research under the guidance of Dr. Joon-Young Lee. During undergraduate study, I worked as a research intern at the lab and T-Brain. I also have spent great time with Prof. Joseph Lim at the University of Southern California and Prof. Byoung-Tak Zhang at BioIntelligence Lab, SNU

My research interests come from a question, "How humans can learn from small amounts of data or coarse data such as noisy or weak-labeled data and why machines cannot?" My goal is to reduce the gap between human and machine intelligence by deeply understanding human intelligence and to build robust machines for these coarse data insipired by cognitive science. Shortly, I am interested in these fields as follows:

  • Computer Vision: video understanding, weakly-/self-supervised learning, open-set/long-tailed recognition
  • Reinforcement Learning: embodied AI, dynamics randomization
  • Psychology: curiosity, intuitive concepts (e.g., intuitive physics), decision-making, categorization, child development
  • Neuroscience: visual pathway, procedural memory

I am a candidate of two scholarships for doctoral study in limited overseas universities.


  • [11/2020] One paper is accepted to WACV 2021.
  • [09/2020] I am selected as a candiate for Doctral Study Abroad Program Fellowship (2021-2026).
  • [08/2020] I am selected as a candidate for The Government Scholarship for Overseas Study (2021-2023).
  • [06/2020] I joined Adobe Research @ Remote (due to COVID-19) as a Deep Learning Research Intern mentored by Joon-Young Lee.
  • [09/2019] I joined Computer Vision Lab @ Seoul National University as a Master's student advised by Professor Bohyung Han.
  • [10/2018] One paper "Robust harmonic field based tooth segmentation in real-life noisy scanned mesh" is accepted to SPIE Medical Imaging (@San Diego, Feb 2019).
  • [09/2018] I joined Computer Vision Lab @ Seoul National University as a Research Intern advised by Professor Bohyung Han.
  • [05/2018] I joined T-Brain @ SKT, Seoul, Korea, as a Research Intern


Seoul National University
 Master's Student in Electrical and Computer Engineering (Advisor: Bohyung Han)
Sep 2019 - Aug 2021
Seoul National University
 B.S. in Computer Science and Engineering (minor: Brain-Mind-Behavior)
(Summa Cum Laude)
Mar 2013 - Aug 2019
(Apr 2015- Jan 2017 : Military Service)


Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han.
In submission. 2021.

Weakly Supervised Instance Segmentation by Deep Community Learning
Jaedong Hwang*, Seohyun Kim*, Jeany Son, Bohyung Han.
 To appear in WACV. 2021. [paper], [project page], [video].

Robust harmonic field based tooth segmentation in real-life noisy scanned mesh
Jaedong Hwang*, Sanghyeok Park*, Seokjin Lee*, Yeong-Gil Shin.
SPIE 10949, Medical Imaging 2019: Image Processing. 2019. [paper], [poster]

Learning from Noisy Demonstration Sets via Meta-Learned Suitability Assessor
 Te-Lin Wu, Jaedong Hwang, Jingyun Yang, Shaofan Lai, Carl Vondrick, Joseph Lim.
OpenReview. 2018. [paper], [project page], [video]

An adaptive computational discourse system based on data-driven learning algorithm
 Seungwon Lee*, Jaedong Hwang*, Eunsol Kim, Byoung-Tak Zhang.
International Symposium on advanced Intelligent Systems (ISIS) (Vol. 201). 2015. [paper]
Best Session Paper Awards

(*: equally contributed)

Professional Experience

Adobe Research,  Adobe Inc.,   CA (remote)
 Deep Learning Research Intern,   Mentor: Joon-Young Lee
Jun 2020 - Mar 2021
Computer Vision Lab,   Seoul National University,   Korea
 Research Intern,   Advisor: Bohyung Han
Sep 2018 - Aug 2019
CLVR Lab,   University of Southern California,   CA
 Visitng Student,   Advisor: Joseph Lim
Mar 2018 - May 2018
T-Brain,   SKT,   Korea
 Research Intern
Jun 2018 - Aug 2018
Cybercrime Investigation Unit,   Seoul Metropolitan Police Agency,   Korea
 Investigator (Auxiliary Police) - as secondment of military service
Korean Media: KBS, SBS, YTN
Aug 2015 - Jan 2017
BioIntelligence Lab,   Seoul National University,   Korea
 Research Intern,   Advisor: Byoung-Tak Zhang
Jul 2014 - Apr 2015

Awards & Honors

  • Best Paper of Brain-Mind-Behavior department
  • Seoul Metropolitan Police Agency Award Certificate
  • ISIS 2015 Best Session Paper Award
  • Jongha Fellowship


Doctoral Study Abroad Program Fellowship
A full scholarship with stipends granted by Korea Foundation for Advanced Studies (KFAS).
Sep 2021 - Aug 2026
Government Scholarship for Overseas Study
A scholarship granted by The Government of South Korea of $40,000 for each academic year.
Sep 2021 - Aug 2023
Seoam Scholarship (Merit-based)
A full scholarship with stipends granted by Seoam Yoon Se Young Foundation for undergraduate studies.
Sep 2013 - Aug 2019


ECCV 2020, WACV 2021, CVPR 2021
ICLR 2020
Teaching Assistant
035.001 Digital Computer Concept and Practice (Instructor: Bohyung Han)

Other Projects

Effect of the entropy change in 2D grid patterns on working memory
 Advisor : Joo Young Park
Conducted in “Cognitive Process and Lab. (207.304, prof. Joo Young Park).”
Style Recognition of Artworks
Conducted in "Computer Vision(M 1522.001000, prof. Gunhee Kim)"

Other Experience

Seoul National University Philharmonic Orchestra
 Server Administrator
Aug 2016 - Present
 Chief of department of Data Management
Oct 2014 - Mar 2015
 2nd Violinist
Mar 2013 - Aug 2019
National Museum of Modern and Contemporary Art, Seoul, Korea
Mar 2017 - Oct 2017
Guahm Middle School, Seoul, Korea
Sep 2013 - Feb 2015