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ORCIDPyunghwan Ahn
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- affiliation: Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, South Korea
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2020 – today
- 2024
[j3]Hyungmin Kim
, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. 131: 107842 (2024)- [i8]Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR abs/2401.10050 (2024) - 2023
- [i7]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Woo-Young Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR abs/2309.01961 (2023) - 2022
- [j2]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-Based Point Convolution for Efficient Point Cloud Segmentation. IEEE Access 10: 15348-15358 (2022) - [i6]Doyeon Kim, Woonghyun Ka, Pyunghwan Ahn, Donggyu Joo, Sewhan Chun, Junmo Kim:
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. CoRR abs/2201.07436 (2022) - [i5]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR abs/2202.01991 (2022) - [i4]Taehoon Kim, Mark Marsden, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Alessandra Sala, Seung Hwan Kim:
Large-Scale Bidirectional Training for Zero-Shot Image Captioning. CoRR abs/2211.06774 (2022) - 2021
- [j1]Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim:
Differentiable Architecture Search Based on Coordinate Descent. IEEE Access 9: 48544-48554 (2021) - [c3]JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. ICCV 2021: 6393-6402 - [i3]JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. CoRR abs/2112.05213 (2021) - 2020
- [c2]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. IROS 2020: 8469-8475 - [i2]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. CoRR abs/2011.00988 (2020)
2010 – 2019
- 2019
- [i1]Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim:
EDAS: Efficient and Differentiable Architecture Search. CoRR abs/1912.01237 (2019) - 2016
- [c1]Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim:
Thinning deep neural networks for sketch recognition. APSIPA 2016: 1-4
Coauthor Index
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