👋 Hi there! I'm Youngwan, a senior researcher at ETRI and Ph.D student in Graduate school of AI at KAIST, where I'm advised by Prof. Sung Ju Hwang in the Machine Learning and Artificial Intelligence (MLAI) lab.
My research interest is how computers understand the world, including efficient 2D/3D neural network design, object detection, instance segmentation, semantic segmentation, and video classification 🖥️🌏. Besides, I have explored Vision Transformer architecture and self-supervised learning.
Recently, I have focused on multimodal learning, including text-image generation and safety for vision-language models.
See Google scholar for full list.
- KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis, NeurIPS 2024.
- RC-MAE: Exploring the Role of Mean Teachers in Self-supervised Masked Auto-Encoders, ICLR 2023.
- MPViT : Multi-Path Vision Transformer for Dense Prediction, CVPR 2022.
- CenterMask : Real-Time Anchor-Free Instance Segmentation, CVPR 2020.
- VoV3D: 3D convolutional neural network, IEEE Access 2021.
- VoVNet: 2D convolutional neural network, CVPRW 2019.
- 📝 I enjoy
teachingtalking what Iknowlearn, so I am giving lectures on AI as an AI Facilitator at ETRI AI Academy. - 🌏🌱🌲🌊 ⛰️ I love to appreciate the beautiful nature.
- 🎾 🏀 I enjoy playing tennis and basketball.
- 📫 How to reach me: yw.lee@etri.re.kr | ywlee88@kaist.ac.kr
