3 citations · 5 across the 4 of their papers we have counts for
4 papers
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
Jonghwa Yim, Sang Hwan Kim
Learning two tasks in a single shared function has some benefits. Firstly by acquiring information from the second task, the shared function leverages useful information that could…
Filter Style Transfer between Photos
Jonghwa Yim, Jisung Yoo, Won-joon Do +2
Over the past few years, image-to-image style transfer has risen to the frontiers of neural image processing. While conventional methods were successful in various tasks such as co…
Investigating the feature collection for semantic segmentation via single skip connection
Jonghwa Yim, Kyung-Ah Sohn
Since the study of deep convolutional neural network became prevalent, one of the important discoveries is that a feature map from a convolutional network can be extracted before g…
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Jonghwa Yim, Kyung-Ah Sohn
Despite the appeal of deep neural networks that largely replace the traditional handmade filters, they still suffer from isolated cases that cannot be properly handled only by the…