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Jonghwa Yim
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2020 – today
- 2023
- [c4]Jonghwa Yim, Minjae Kim:
Style-Guided Inference of Transformer for High-resolution Image Synthesis. WACV 2023: 1745-1755 - 2022
- [c3]Abdelrahman Abdelhamed, Jonghwa Yim, Abhijith Punnappurath, Michael S. Brown, Jihwan Choe, Kihwan Kim:
Extracting Vignetting and Grain Filter Effects from Photos. WACV 2022: 52-60 - [i7]Gunhee Lee, Jonghwa Yim, Chanran Kim
, Minjae Kim:
StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map. CoRR abs/2205.06611 (2022) - [i6]Jonghwa Yim, Minjae Kim:
Style-Guided Inference of Transformer for High-resolution Image Synthesis. CoRR abs/2210.05533 (2022) - 2020
- [c2]Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe:
Filter Style Transfer Between Photos. ECCV (6) 2020: 103-119 - [i5]Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe:
Filter Style Transfer between Photos. CoRR abs/2007.07925 (2020) - [i4]Jonghwa Yim, Sang Hwan Kim:
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain. CoRR abs/2008.02043 (2020)
2010 – 2019
- 2018
- [i3]Jonghwa Yim, Junghun James Kim, Daekyu Shin:
One-Shot Item Search with Multimodal Data. CoRR abs/1811.10969 (2018) - 2017
- [c1]Jonghwa Yim, Kyung-Ah Sohn:
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets. DICTA 2017: 1-8 - [i2]Jonghwa Yim, Kyung-Ah Sohn:
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets. CoRR abs/1710.06805 (2017) - [i1]Jonghwa Yim, Kyung-Ah Sohn:
Investigating the feature collection for semantic segmentation via single skip connection. CoRR abs/1710.08192 (2017)
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