Geon Yeong Park
Scholar

Geon Yeong Park

Google Scholar ID: HGF4a14AAAAJ
KAIST
Machine learningDeep learning
Citations & Impact
All-time
Citations
451
 
H-index
12
 
i10-index
12
 
Publications
16
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Paper 'Inference-Time Diffusion Model Distillation' accepted at ICCV 2025
  • Paper 'VideoGuide' accepted at CVPR 2025
  • 'TReg' selected as Spotlight at ICLR 2025; both 'TReg' and 'CFG++' accepted at ICLR 2025
  • 'CFG++' awarded 2nd place in Signal Processing at the 31st Samsung Humantech Paper Award
  • 'DreamMakeup' won 2025 CES Innovation Award (collaborated with AmorePacific)
  • Paper 'SMA' accepted at AAAI 2025
  • 'VMC' presented as oral at KCCV 2024 and finalist for Qualcomm Innovation Fellowship Award 2024
  • Papers 'Dreamsampler' and 'DreamMotion' accepted at ECCV 2024
  • Three papers ('Self-supervised debiasing', 'VMC', 'CDS') accepted at CVPR 2024
  • 'EBCA' received 3rd place in Signal Processing at the 30th Samsung Humantech Paper Award
  • 'EBCA' presented as a poster at NeurIPS 2023
Background
  • Final-year Ph.D. student in Bio and Brain Engineering (BBE) at KAIST
  • Aspires to become a tech-based leader in AI
  • Research interests: (a) improving representation learning; (b) leveraging intermediate representations for controlling AI systems
  • Recent work focuses on controlling diffusion generative processes via latent representations or denoised estimates to enhance conditional diffusion sampling and multi-modal alignment
  • Interested in developing robust representations to handle distribution shifts