M.S./Ph.D. student in the CVLAB@ Korea University

I started my M.S./Ph.D. under the supervision of Prof. Seungryong Kim since 2021. Before joining CVLAB in Korea University, I obtained a barchelor’s degree in Computer Science and Engineering at Korea University. My primary research interest is Computer Vision, especially visual correspondence and its applications.

Education

  • Integrated M.S./Ph.D. in Computer Science and Engineering - Korea University, Seoul, Korea

    03/21-Present

  • B.S. in Computer Science and Engineering - Korea University, Seoul, Korea

    03/15-02/21

Publication

  • CATs++: Boosting Cost Aggregation with Convolutions and Transformers under review [arXiv] [Code]

    Seokju Cho*, Sunghwan Hong*, Seungryong Kim† (*equal contribution)

  • Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation ECCV 2022 [arXiv] [Project Page] [Code]

    Sunghwan Hong*, Seokju Cho*, Jisu Nam, Stephen Lin, Seungryong Kim† (*equal contribution)

  • CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS 2021 [arXiv] [Project Page] [Code]

    Seokju Cho*, Sunghwan Hong*, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim† (*equal contribution)

  • MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation arxiv preprint 2021 [arXiv]

    Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo

  • Deep Matching Prior: Test-Time Optimization for Dense Correspondence ICCV 2021 [arXiv] [Project Page]

    Sunghwan Hong, Seungryong Kim†

Internship

  • National Forensic Service (Wonju, Korea)

    Research assistant (01/20-06/20)

Millitary obligation

  • Auxiliary Policeman (Seoul, Korea)

    (07/16-04/18)

Teaching Experience

  • LG Electronics AI Computer Vision Advanced course

    Teaching assistant (02/22)

  • Samsung Electronics AI Computer Vision Advanced course

    Teaching assistant (09/21)

Awards

  • BK21 Future Talent Fellowship (BK21 미래인재 펠로우십)

Language skills

  • Korean (native)
  • English (fluent)
  • Japanese (proficient)
  • Thai (conversational)