Hwiyeon Yoo

Hwiyeon Yoo
Ph.D. Student
Department of Electrical and Computer Engineering
Seoul National University
1 Gwanak-ro, Gwanak-gu
Seoul 08826, Korea

Office: Building 301 Room 718
Phone: +82-2-880-1512
Email: hwiyeon.yoo (at) rllab.snu.ac.kr


Hwiyeon Yoo is a Ph.D. student in the Department of Electrical and Computer Engineering at the Seoul National University, Korea. His research interests include machine learning, deep learning, and computer vision. He received bachelor's degree in Electrical and Computer Engineering from Seoul National University in 2017. 


Research Experiences

  • 2019-present: Development of AI Technology for Guidance of a Mobile Robot to its Goal with Uncertain Maps in Indoor/Outdoor Environments - Ministry of Science, ICT, and Future Planning (MSIP)
  • 2017-present: Realistic 4D Reconstruction of Dynamic Objects - Ministry of Science, ICT, and Future Planning (MSIP)
  • 2017-present: Biomimetic Recognition Technology - Agency for Defense Development (ADD)

Publications

 

International Journal

  • Hwiyeon Yoo, Geonho Cha, and Songhwai Oh, "Deep Ego-Motion Classifiers for Compound Eye Cameras," Sensors, vol. 19, no. 23, Dec. 2019.

International Conference

  • Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, and Songhwai Oh, "Unsupervised Holistic Image Generation from Key Local Patches," in Proc. of the European Conference on Computer Vision (ECCV), Sep. 2018.
  • Hyemin Ahn, Timothy Ha*, Yunho Choi*, Hwiyeon Yoo*, and Songhwai Oh, "Text2Action: Generative Adversarial Synthesis from Language to Action"in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018. (* equally contributed)
  • Geonho Cha, Hwiyeon Yoo, Donghoon Lee, and Songhwai Oh, "Light-Weight Semantic Segmentation for Compound Images", in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Oct., 2017.
  • Hwiyeon Yoo, Donghoon Lee, Geonho Cha, and Songhwai Oh, "Estimating Objectness Using a Compound Eye Camera", in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Nov., 2017. (oral)