Youngjin Yoon

Ph.D Candidate
Robotics and Computer Vision Lab.
KAIST, Korea. 

Research Interests

Action Recognition, Computational Photography, Representation Learning


EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry Tasks
Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon and Seon Joo Kim
IEEE Conference on Computer Vision and Pattern Recognition

Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon and In So Kweon
IEEE Winter Conference on Application of Computer Vision

Light Field Image Super-Resolution using Convolutional Neural Network
Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee and In So Kweon
IEEE Signal Processing Letters (SPL), accepted.
Paper|Bibtex| Training data(6.8GB) |Code

Fine-scale Surface Normal Estimation using a Single NIR Image
Youngjin Yoon, Gyeongmin Choe, Namil Kim, Joon-young Lee and In So Kweon
European Conference on Computer Vision (ECCV 2016).
Paper | Bibtex | Project page

Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee and In So Kweon
ICCV Workshop - Color and Photometry in Computer Vision (ICCVW 2015).
Paper | Bibtex | Trained network

Human Action Recognition by Attention and Object Network
Bonggeun Sim, Youngjin Yoon, Donggeun Yoo and In So Kweon
22th Korea-Japan Joint Workshop on Frontiers of Computer Vision.