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Jae Won Cho

Ph.D Candidate

Electrical Engineering, KAIST


CV


I am currently a Ph.D. student advised by Prof. In So Kweon, at the Electrical Engineering department at KAIST. I earned my B.S. in Electrical Engineering from Georgia Institute of Technology in 2018. My current research interests lie in the general areas of computer vision and deep learning with a particular focus on:

  • Vision & Language
  • Visual Question Answering
  • Active Learning

Contact

  • chojw [at] kaist.ac.kr

  • Bldg N1, Rm 211, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D. in Electrical Engineering

    Aug 2018 - Present

    KAIST, South Korea

    Advisor: Prof. In So Kweon

  • B.S. in Electrical Engineering

    Aug 2014 - May 2018

    Georgia Institute of Technology, USA

Research Experiences

  • KAIST, Daejeon, South Korea
    Aug 2018 - Present

    Research Assistant, Robotics and Computer Vision Lab.
  • KAIST, Daejeon, South Korea
    Jun 2017 - Aug 2017

    Research Intern, Robotics and Computer Vision Lab.
  • KAIST, Daejeon, South Korea
    Jun 2016 - Aug 2016

    Research Intern, Robotics and Computer Vision Lab.

Publications

  • Single-Modal Entropy based Active Learning for Visual Question Answering

    {Dong-Jin Kim*, Jae Won Cho*}, Jinsoo Choi, Yunjae Jung, In So Kweon (* Co-First Authors)

    British Machine Vision Conference (BMVC), 2021

    [ Paper ]

  • LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation

    Inkyu Shin, Dong-Jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon

    IEEE International Conference on Computer Vision (ICCV), 2021 [Oral] (acceptance rate 3%)

    [ Paper ]

  • Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

    Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021

    [ Paper ] [ Project ] [ Code ]

  • MCDAL: Maximum Classifier Discrepancy for Active Learning

    {Jae Won Cho*, Dong-Jin Kim*}, Yunjae Jung, In So Kweon (* Co-First Authors)

    arXiv, 2021

    [ Paper ]

  • Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation

    Jae Won Cho, Dong-Jin Kim, Jinsoo Choi, Yunjae Jung, In So Kweon

    CVPR Multimodal Learning and Applications Workshop (CVPRW), 2021

    [ Paper ]

    Also presented at "Visual Question Answering Workshop" and "VizWiz Grand Challenge Workshop" in conjunction with CVPR 2021.

  • Optical Flow Estimation from a Single Motion-blurred Image

    Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon

    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021

    [ Paper ] [ Poster ] [ Code ]

Awards & Honors

  • KAIST Scholarship, Full scholarship Ph.D. program, 2018-Present
  • Eta Kappa Nu (HKN), Beta Mu Chapter, Member, 2018
  • High Honor, Georgia Institute of Technology Electrical Engineering, 2018
  • Scholarship of In-State-Tuition Waiver ($10,000 USD), Fall 2017-Spring 2018
  • Georgia Tech Faculty Honors, Spring 2017
  • Georgia Tech Dean's List, Fall 2017, Spring 2015, Fall 2014