Search Results for author: Juhyeon Park

Found 3 papers, 1 papers with code

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

no code implementations9 Mar 2025 Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon

Through the evaluation of existing visual brain decoding models, we further reveal that crucial information is often lost in translation, even in state-of-the-art models that achieve near-perfect scores on existing metrics.

Brain Decoding Semantic Similarity +1

DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion

no code implementations16 Nov 2024 DongGyu Lee, Juhyeon Park, Taesup Moon

While deep learning-based Alzheimer's disease (AD) diagnosis has recently made significant advancements, particularly in predicting the conversion of mild cognitive impairment (MCI) to AD based on MRI images, there remains a critical gap in research regarding the group robustness of the diagnosis.

TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers

1 code implementation30 Nov 2023 Juhyeon Park, Seokhyeon Jeong, Taesup Moon

In addition, we propose a systematic validation procedure that checks whether the generated words are compatible with the embedding space of CLIP and the image classifier, which is shown to be effective for improving debiasing performance.

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