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Jonghwa Yim

4 papers hereh-index 392 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedLearning Boost by Exploiting the Auxiliary Task in Multi-task Domain

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 3 cited

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…

cs.CV2020★ 2 cited

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…

cs.CV2017

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…

cs.CV2017

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.