Donggeun Ko

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

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Representational Power

Learning Process

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Publications

Donggeun Ko, Sangwoo Jo, Dongjun Lee, Namjun Park, Jaekwang Kim
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection. CoRR (2024)
Dongjun Lee, Donggeun Ko, Jaekwang Kim
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation. CoRR (2023)
Jeongho Kim, Yun-Gyoo Lee, Donggeun Ko, Taejune Kim, Soo-Youn Ham, Simon S. Woo
MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography. SAC (2023)
Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim
AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. CIKM (2023)
Jaeju An, Taejune Kim, Donggeun Ko, Sangyup Lee, Simon S. Woo
: Adaptive Augmentation for Effectively Mitigating Dataset Bias. ACCV (7) (2022)
Donggeun Ko, Sangjun Lee, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo
Deepfake Detection for Facial Images with Facemasks. CoRR (2022)
Sangjun Lee, Donggeun Ko, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo
Deepfake Detection for Fake Images with Facemasks. WDC@AsiaCCS (2022)