I received my BS in 2011 and MS in 2013 at Electrical Engineering, KAIST. As of 2013, I am a PhD student at KAIST, working on visual representation learning with Prof. In So Kweon, but I decided to take some time off to join Lunit in 2017. As a full-time research scientist at Lunit, I am devoted to developing advanced AI for medical image analysis and interpretation via cutting-edge deep learning technology. 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.
Representation learning, unsupervised learning, large-scale learning, for visual recognition.
ImageNet Large Scale Visual Recognition Challenge (ILSVRC)
Grand Prize in KAIST Undergraduate Research Program.
D. Kim, D. Cho, D. Yoo, I. S. Kweon,
Two-Phase Learning for Weakly Supervised Object Localization,
IEEE International Conference on Computer Vision (ICCV), 2017.
D. Yoo, N. Kim, S. Park, A. S. Paek, I. S. Kweon,
Pixel-Level Domain Transfer,
European Conference on Computer Vision (ECCV), 2016.
Paper | Supp | LookBook dataset | Code written by Fei Xia
(This paper was also invited to ECCV'16 workshop on TASK-CV)
D. Yoo, S. Park, J.-Y. Lee, A. S. Paek, I. S. Kweon,
AttentionNet: Aggregating Weak Directions for Accurate Object Detection,
IEEE International Conference on Computer Vision (ICCV), 2015.
Paper | Supp
Y. Yoon, H.-G. Jeon, D. Yoo, J.-Y. Lee, I. S. Kweon,
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution,
IEEE International Conference on Computer Vision (ICCV) - CPCV Workshop, 2015.
D. Yoo, S. Park, J.-Y. Lee, I. S. Kweon,
Multi-scale Pyramid Pooling for Deep Convolutional Representation,
International Conference on Computer Vision and Pattern Recognition (CVPR) - DeepVision Workshop, 2014.
Paper | Supp
D. Yoo, K. Paeng, S. Park,J. Lee, S. Paek, S.-E. Yoon, I. S. Kweon,
PRISM: A System for Weighted Multi-Color Browsing of Fashion Products,
International World Wide Web Conference Companion (WWW), 2014.