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πŸ‘‹ Hello, My name is Seongyeong Lee, Master-student in UNIST. Please see here for specific details

β€œI want to be a researcher who thinks I can ask good questions well”, this is the idea I came up with while watching my senior doctoral researcher during my internship. I was not sure about going to graduate school, so these thoughts led to my decision to enter graduate school, and now I am about to graduate from the graduate school master's program. Wherever I am, in the end, I want to grow step by step from where I am now. I am trying to become a researcher who can listen, learn, and ask good questions based on that.

πŸ’™ Research Interest

  • Computer vision ✨
  • Neural rendering
  • Hand/Human pose estimation,
  • 3D mesh reconstruction from single RGBs
  • Domain adaptation/generalization

πŸ’š Careers

Type Date Contents Org.
🌟 Working 22.10~ Vision AI Researcher NCSOFT, KOREA
πŸ“–Edu(Master) 20.08-22.08 Department of Computer Science, Computer Vision (mainly Hand pose estimation) Ulsan National Institute of Science and Technology (UNIST)
Edu(Bachelor) 17.03-20.02 Department of Computer Engineering Pukyong National University
Edu(Bachelor) 14.03-16.02 Department of Chinese Language and Literature Dongguk University
πŸ”Research activities 18.06-19.12 Undergraduate Research Students Pukyong National University, Video Communication Lab
πŸ“‘Working 14.03-16.02 Research Trainee(Intern) Electronics and Telecommunications Research Institute(ETRI)
Working 14.03-16.02 Intern Kyushu Association of Independent Entreoreneurs (AIE-Kyushu), JAPAN

🌍 Languages

Python PyTorch TensorFlow OpenCV

πŸ’Œ Contacts

LinkedIn

SeonGyeongLee's Projects

3dpw-eval icon 3dpw-eval

Evaluation code for the workshop "3D Pose Estimation in the Wild" held in conjunction with ECCV 2020

caffe_1.0_windows icon caffe_1.0_windows

This is the latest version of Caffe_1.0 (windows branch) with Python3.6 support, with all examples converted to bat files for easy usage

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

hand3d icon hand3d

Network estimating 3D Handpose from single color images

meshtransformer icon meshtransformer

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

obman icon obman

[cvpr19] Hands+Objects synthetic dataset, instructions to download and code to load the dataset

obman_train icon obman_train

[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images

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