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Sanghyeok Son
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2020 – today
- 2024
- [j3]Minchan Kang, Sanghyeok Son, Daeshik Kim:
Adaptive class token knowledge distillation for efficient vision transformer. Knowl. Based Syst. 304: 112531 (2024) - [j2]Donggon Jang, Sunhyeok Lee, Gyuwon Choi, Yejin Lee, Sanghyeok Son, Dae-Shik Kim:
Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation. IEEE Trans. Image Process. 33: 6143-6157 (2024) - 2023
- [j1]Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim:
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling. Appl. Intell. 53(24): 30940-30953 (2023) - 2022
- [c2]Donggon Jang, Sanghyeok Son, Dae-Shik Kim:
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. CVPR Workshops 2022: 147-154 - 2021
- [c1]Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim:
Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution. CVPR Workshops 2021: 404-413 - [i1]Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021)
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last updated on 2024-11-19 20:42 CET by the dblp team
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