Scholar
Dongyeun Lee
Google Scholar ID: PIxqOuAAAAAJ
kaist
Citations & Impact
Citations
14
H-index
3
i10-index
0
Publications
7
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization, ICCV 2025
- - RADIO: Reference-Agnostic Dubbing Video Synthesis, WACV 2024
- - Training Cartoonization Network without Cartoon, ICIP 2023
- - Fix the Noise: Disentangling Source Feature for Controllable Domain Translation, CVPR 2023
- - Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN, CVPRW 2022 (Best Paper Award, 2.56% acceptance rate)
- - Awards: Best Paper Award, CVPR 2022 Workshops on AI for Content Creation, $1500 sponsored by Google
Research Experience
- - Position: Research Scientist
- - Institution: Statistical Inference and Information Theory in Information & Electronics Research Institute, KAIST
- - Location: Daejeon, South Korea
- - Duration: Apr. 2024 - Present
- - Position: AI Researcher
- - Institution: Klleon AI Research
- - Location: Seoul, South Korea
- - Duration: May. 2022 - Mar. 2024
- - Projects: Audio Driven Talking Head Synthesis, Explicit Controllable 3D-Aware Talking Head Synthesis
- - Position: Research Intern
- - Institution: Vision and Learning Laboratory, KAIST
- - Duration: Jan. 2020 - Jun. 2020
- - Project: Makeup Style Transfer
- - Institution: Dabeeo
- - Duration: Apr. 2019 - Aug. 2019
- - Project: Arial Image Change Detection and Object Detection
Education
- - Degree: Master's
- - School: Korea Advanced Institute of Science and Technology (KAIST)
- - Advisor: Prof. Junmo Kim
- - Duration: Mar. 2021 - Aug. 2022
- - Major: Electrical Engineering
- - Degree: Bachelor's
- - Duration: Mar. 2016 - Feb. 2021
- - Major: Computer Science
Background
- - Research Interests: Quantization, Efficient Machine Learning
- - Professional Field: Computer Vision, Machine Learning
- - Introduction: Research Scientist at Statistical Inference and Information Theory in Information & Electronics Research Institute, KAIST, focusing on computer vision and machine learning.
