Scholar
Yeongtak Oh
Google Scholar ID: 1251qTIAAAAJ
Seoul National University
Citations & Impact
Citations
95
H-index
5
i10-index
3
Publications
9
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models' accepted to NeurIPS 2025
- Paper 'ControlDreamer: Stylized 3D Generation with Multi-View ControlNet' accepted to BMVC 2024
- Paper 'Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation' accepted to ECCV 2024
- Paper 'On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss' published in IJCV 2024 (IF: 11.6)
- Paper 'A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network' published in ISA Transactions (2022, IF: 5.9)
- Preprint 'Style-Friendly SNR Sampler for Style-Driven Generation' posted on arXiv (2024)
- Selected as a Finalist in Qualcomm Innovation Fellowship Korea (QIFK) 2025
Background
- Fourth-year Ph.D. candidate in ECE at Seoul National University
- Member of DSAIL Lab
- Research focuses on computer vision and multi-modal reasoning
- Primarily explores post-training of generative models
- Deeply interested in advancing multi-modal AI systems in more expressive and personalized ways
