3 papers
cs.CV2018
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
Changha Shin, Hae-Gon Jeon, Youngjin Yoon +2
Light field cameras capture both the spatial and the angular properties of light rays in space. Due to its property, one can compute the depth from light fields in uncontrolled lig…
cs.CV2018
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh +2
Human behavior understanding is arguably one of the most important mid-level components in artificial intelligence. In order to efficiently make use of data, multi-task learning ha…
cs.CV2016
Fine-scale Surface Normal Estimation using a Single NIR Image
Youngjin Yoon, Gyeongmin Choe, Namil Kim +2
We present surface normal estimation using a single near infrared (NIR) image. We are focusing on fine-scale surface geometry captured with an uncalibrated light source. To tackle…