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ORCIDHyojin Park 0001
Person information
- affiliation: Seoul National University, Graduate School of Convergence Science and Technology, GSCST, Korea
- affiliation (2016): Korea Advanced Institute of Science and Technology, Daejeon, Korea
Other persons with the same name
- Hyojin Park (aka: Hyo-Jin Park, Hyo Jin Park) — disambiguation page
- Hyojin Park 0003 (aka: Hyo-Jin Park 0003, Hyo Jin Park 0003) — Korea Advanced Institute of Science and Technology, KAIST, Broadband Network Lab, Department of Information and Communications Engineering, Daejeon, Korea
- Hyojin Park 0004 — Qualcomm Technologies, Inc., Qualcomm AI Research, USA
- Hyojin Park 0005
![[0000-0002-7527-8280]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7527-8280")
— University of Birmingham, School of Psychology, Centre for Human Brain Health, CHBH, UK (and 1 more)
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Journal Articles
- 2021
[j1]Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak:
Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access 9: 116914-116926 (2021)
Conference and Workshop Papers
- 2021
- [c6]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR 2021: 8405-8414 - 2020
- [c5]Hyojin Park, Lars Lowe Sjösund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020: 2055-2063 - 2019
- [c4]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - 2018
- [c3]Hyojin Park, Youngjoon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC 2018: 76 - 2017
- [c2]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. BMVC 2017 - [c1]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. BMVC 2017
Informal and Other Publications
- 2020
- [i9]Hyojin Park, Ganesh Venkatesh, Nojun Kwak:
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. CoRR abs/2011.04445 (2020) - [i8]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR abs/2012.11655 (2020) - 2019
- [i7]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - [i6]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR abs/1908.03093 (2019) - [i5]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. CoRR abs/1911.09099 (2019) - 2018
- [i4]Hyojin Park, Young Joon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. CoRR abs/1805.01123 (2018) - [i3]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [i2]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. CoRR abs/1705.09587 (2017) - [i1]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. CoRR abs/1706.10071 (2017)
Coauthor Index
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