Donggeun Yoo

Co-founder & Head of Research at Lunit
dgyoo@lunit.io
Google Scholar | CV | Linkedin



Bio

I received BS in 2011, MS in 2013 and PhD in 2019 at School of Electrical Engineering form KAIST, South Korea. The title of my dissertation (composed of four chapters, all published) was: Deep Learning Based Visual Recognition Robust Against Background Clusters, written under the supervision of Prof. In So Kweon. During the PhD course, I co-founded Lunit, a Seoul-based medical AI startup, with my lifelong friends in 2013. As the Head of Research at Lunit, I am devoted to developing advanced medical AI for radiology and pathology. During my internship experience at Adobe Research in the US, I worked on large-scale video representation learning. My research interests include visual recognition problems with deep learning approaches.



Research Interests

Machine Learning 

Deep learning, un/semi-supervised learning, representation learning, active learning, domain adaptation, large-scale learning method.

Computer Vision 

Visual recognition, image classification, object detection, semantic segmentation, image retrieval, medical image analysis, data-driven imaging biomarker (DIB).



Awards | Competitions

Mar. 2017. 

Our transfer learning method, Multi-Scale Pyramid Pooling (MPP), was employed to Samsung Galaxy S8 Bixby Vision for fine-grained object classification and product retrieval.
Related paper

Dec. 2015. 

ImageNet Large Scale Visual Recognition Challenge (ILSVRC)
5th place at the classification and localization task among 23 participants including world leading companies such as Google, Microsoft, Samsung and Qualcomm.
Invited to ILSVRC Workshop in ICCV 2015 to provide a talk about "Multi-Class AttentionNet", which was selected as one of top 3 novel localization approaches.
Team name: Lunit-KAIST.
Result | Workshop | Slide

Feb. 2009. 

Grand Prize in KAIST Undergraduate Research Program.
Topic: Portable Noncontact Heartbeat Sensor Using LC Oscillation.
Advisor: Prof. Songcheol Hong.



Selected Publications

Donggeun Yoo, In So Kweon,
Learning Loss for Active Learning,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Paper (Oral)



Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon,
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Paper | Supp | Code



Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon,
Learning Image Representations by Completing Damaged Jigsaw Puzzles,
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
Paper



Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon,
Two-Phase Learning for Weakly Supervised Object Localization,
IEEE International Conference on Computer Vision (ICCV), 2017.
Paper



Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng, Joon-Young Lee, In So Kweon,
Action-Driven Object Detection with Top-Down Visual Attentions,
arXiv preprint, 2016.
Paper | Video - person, multi



Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S Paek, In So Kweon,
Pixel-Level Domain Transfer,
European Conference on Computer Vision (ECCV), 2016.
Paper | Supp | LookBook dataset | Code written by Fei Xia
(This work was invited to TASK-CV)



Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S Paek, In So Kweon,
AttentionNet: Aggregating Weak Directions for Accurate Object Detection,
IEEE International Conference on Computer Vision (ICCV), 2015.
Paper | Supp



Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon,
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution,
IEEE International Conference on Computer Vision (ICCV) - CPCV Workshop, 2015.
Paper



Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In So Kweon,
Multi-scale Pyramid Pooling for Deep Convolutional Representation,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) - DeepVision Workshop, 2014.
Paper | Supp
(Employed to Samsung Galaxy S8 Bixby Vision)



Donggeun Yoo, Kyunghyun Paeng, Sunggyun Park, Jungin Lee, Seungwook Paek, Sung-Eui Yoon, In So Kweon,
PRISM: A System for Weighted Multi-Color Browsing of Fashion Products,
International World Wide Web Conference Companion (WWW), 2014.
Paper