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 🖥️🌏. Recently, I have focused on Vision Transformer architecture and self-supervised learning.

🎉 News

• 2023.02:  🎉🎉 Two papers have been accepted at ICLR 2023.
• 2022.02:  🎉🎉 One paper has been accepted at CVPR 2022.

📚 Publications

[full list]

• Exploring the Role of Mean Teachers in Self-supervised Masked Auto-Encoders
  

  Internation Conference on Learning Representation (ICLR) 2023
  Youngwan Lee*, Jeffrey Ryan Willette*, Jonghee Kim, Juho Lee, Sung Ju Hwang
  *:equal contribtion
  [paper] |
  

• Sparse Token Transformer with Attention Back Tracking
  

  Internation Conference on Learning Representation (ICLR) 2023
  Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang
  [paper]
  

• MPViT: Multi-Path Vision Transformer for Dense Prediction
  

  Computer Vision and Pattern Recognition (CVPR) 2022
  Youngwan Lee, Jonghee Kim, Jeffrey Ryan Willette, Sung Ju Hwang
  [paper] |
  

• Localization Uncertainty Estimation for Anchor-Free Object Detection
  

  European Conference on Computer Vision Workoshop on Uncertainty Quantification for Computer Vision (ECCVW) 2022
  Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, YongJin Kwon, Yuseok Bae, Sung Ju Hwang
  [paper]
  

• Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
  

  IEEE Access 2021
  Youngwan Lee, Hyung-Il Kim, Kimin Yun, Jinyoung Moon
  [paper] |
  

• Adversarial training with stochastic weight average
  

  International Conference on Image Processing (ICIP) 2021
  Joong-Won Hwang, Youngwan Lee, Seongchan Oh, Yuseok Bae
  [paper]
  

• Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning
  

  The British Machine Vision Conference (BMVC) 2020
  Kangmin Bae, Kimin Yun, Hyung-Il Kim, Youngwan Lee, Jongyoul Park
  [paper]
  

• CenterMask: Real-Time Anchor-Free Instance Segmentation
  

  Computer Vision and Pattern Recognition (CVPR) 2020
  Youngwan Lee, Jongyoul Park
  [paper] |
  

• An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
  

  Computer Vision and Pattern Recognition Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CVPRW) 2019
  Youngwan Lee*, Joong-Won Hwang*, Sangrok Lee, Yuseok Bae, Jongyoul Park
  *:equal contribtion
  [paper] |
  

🎖 Honors and Awards

• 2022.12 Ministerial Citation (장관표창), Minister of Science and ICT, South Korea
• 2022.04 Best Lecturer Award, ETRI
• 2022.04 Best Paper Award, ETRI
• 2017.06 2nd rank in ImageNet Challenge (Detection task, Team DeepView)

💻 Academic Services

• Lecturer
  • 2020-present, AI Academy at ETRI
  • 2022-2023, Hallym University Medical Center
  • 2022, Korea Atomic Energy Research Institute
• Reviewer
  • Journal
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
    • IEEE Transactions on Image Processing (T-IP)
    • IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    • IEEE Transactions on Vehicular Technology (T-VT)
    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
    • International Journal on Computer Vision (IJCV)
  • Conference
    • CVPR 2023
    • ICCV 2023
    • ICML 2023
    • ICIP 2023
    • WACV 2021