Gitaek Kwon — accepted AI-conference papers

2026

Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization

Seunghoon Lee, Seongjae Kang, Inhyuk Park, Gitaek Kwon, Jihyeon Baek, Doohyun Park

ICLR 2026poster

We propose a frequency-oriented perspective on retinal representation learning by analyzing masked autoencoders (MAE) through the lens of spatial frequency. Our analysis shows that MAE favors low-frequency content while under-encoding diagnostically critical high-frequency structures in retinal imag…

Cited by 0 Source ↗Scholar ↗

2020

Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition

Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim

ICLR 2020poster

When constructing random forests, it is of prime importance to ensure high accuracy and low correlation of individual tree classifiers for good performance. Nevertheless, it is typically difficult for existing random forest methods to strike a good balance between these conflicting factors. In this…

Cited by 25 Source ↗Scholar ↗