Youngseo Kim

I am a MS student at KAIST, advised by professor Junyoung Noh in the Visual Media Lab. My research focuses on Generative Models, with a particular interest in areas such as deepfake detection, NSFW content moderation, copyright protection, and privacy-preserving AI systems.

Latest News

  • APRIL 2026: 1 Paper accepted to SIGGRAPH 2026
  • FEB 2026: 1 Paper accepted to CVPR 2026

Selected Publications

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StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition
Kwan Yun, Changmin Lee, Ayeong Jeong, Youngseo Kim, Seungmi Lee, Junyong Noh
SIGGRAPH 2026; TOG

Perception-aware dataset and metric for facial identity recognition that remains robust under stylized images, supporting identity similarity measurement, retrieval, and evaluation.

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X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake Detection
CVPR 2026

Robust deepfake detection method and cross-generator dataset by leveraging cross-attention features to capture audio-visual correlations.

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Stable Diffusion Feature Extraction for Sketching with One Example
CVM 2025

Stable Diffusion feature extraction for sketching with one example, enabling diverse stylized sketch generation and efficient distilled sketch extraction.