Joon-Young Lee
Scholar

Joon-Young Lee

Google Scholar ID: 6ajse1YAAAAJ
Adobe Research
Computer VisionMachine LearningDeep Learning
Citations & Impact
All-time
Citations
39,692
 
H-index
45
 
i10-index
74
 
Publications
20
 
Co-authors
153
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier conferences in 2025 (ICCV, CVPR, AAAI, WACV) on topics such as video color grading, training-free acceleration of video LLMs, long video generation, and video instance segmentation
  • Presented research on point tracking and video generation at ECCV 2024
  • Led development of key Adobe product features: Roto Brush 2 (After Effects, 2020), Remove Video Background (Adobe Express, 2023), Reframe Videos (Firefly, 2025), Object Mask & Shape Mask Tracker (Premiere Pro, 2025), etc.
  • Received Adobe Tech Excellence Award in 2021 — a peer-nominated honor given to at most 10 technical employees annually for exceptional contributions
  • Featured in Adobe MAX Sneaks with projects like #InstantAdd (2022) and #ProjectFastmask (2018)
  • Developed core techniques for Smart Looks (Photoshop Elements, 2016) and contributed to Video Smart Tags (Adobe Experience Manager UGC, 2018)