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Daeshik Kim

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Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score

Nov 24, 2023
Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

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Cosine Similarity Knowledge Distillation for Individual Class Information Transfer

Nov 24, 2023
Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim

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Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning

Nov 23, 2023
Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim

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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

Jun 07, 2021
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

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MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding

Jan 11, 2020
Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim

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Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study

May 07, 2019
Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim

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