Search Results for author: TaeEon Park

Found 3 papers, 1 papers with code

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization

no code implementations1 Mar 2023 Sangwon Jung, TaeEon Park, Sanghyuk Chun, Taesup Moon

Many existing group fairness-aware training methods aim to achieve the group fairness by either re-weighting underrepresented groups based on certain rules or using weakly approximated surrogates for the fairness metrics in the objective as regularization terms.


Fair Feature Distillation for Visual Recognition

no code implementations CVPR 2021 Sangwon Jung, DongGyu Lee, TaeEon Park, Taesup Moon

Fairness is becoming an increasingly crucial issue for computer vision, especially in the human-related decision systems.

Fairness Knowledge Distillation

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images

1 code implementation ICLR 2021 Sungmin Cha, TaeEon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon

We tackle a challenging blind image denoising problem, in which only single distinct noisy images are available for training a denoiser, and no information about noise is known, except for it being zero-mean, additive, and independent of the clean image.

Image Denoising

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