Sunghwan Hong

Ph.D. Student at the Korea University

I am a Ph.D. Student 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. I am currently interested in 3D reconstruction, pose estimation and novel view synthesis.
February 2024     Our two papers CoPoNeRF and CAT-Seg are selected as highlights in CVPR 2024!
February 2024     Our two papers CoPoNeRF and CAT-Seg got accepted to CVPR 2024!
February 2024     Our paper CoPoNeRF got awarded (Bronze) by IPIU 2024!
January 2024     Our UFC paper got accepted to ICLR 2024!
Octobober 2023     I got awarded a Google PhD Fellowship (2023)!
Dec 2022     Our paper CATs++ got accepted to TPAMI!
October 2022     I started an internship at Microsoft Research Asia hosted by Chong Luo.
October 2022     Our paper NeMF got accepted to NeurIPS 2022!
Aug 2022     Our paper VAT got accepted to ECCV 2022!
October 2021     Our paper CATs got accepted to NeurIPS 2021!
Aug 2021     Our paper DMP got accepted to ICCV 2021!


Korea University Mar. 2021 - Present

M.S./Ph.D in Artificial Intelligence (advisor: Seungryong Kim)

Korea UniversityMar. 2015 - Feb. 2021

B.S. in Computer Science



Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jiaolong Yang, Seungryong Kim, Chong Luo

CVPR 2024 (Highlight)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation

Seokju Cho*, Heeseong Shin*, Sunghwan Hong, Anurag Arnab, Paul Hongseok Seo, Seungryong Kim

CVPR 2024 (Highlight)

Unifying Feature and Cost Aggregation with Transformers for Dense Correspondence

Sunghwan Hong*, Seokju Cho*, Seungryong Kim, Stephen Lin

ICLR 2024


CATs++: Boosting Cost Aggregation with Convolutions and Transformers

Seokju Cho*, Sunghwan Hong*, Seungryong Kim



Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim

NeurIPS 2022

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Sunghwan Hong*, Seokju Cho*, Jisu Nam, Stephen Lin, Seungryong Kim

ECCV 2022


CATs: Cost Aggregation Transformers for Visual Correspondence

Seokju Cho*, Sunghwan Hong*, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim

NeurIPS 2021

Deep Matching Prior: Test-Time Optimization for Dense Correspondence

Sunghwan Hong, Seungryong Kim

ICCV 2021

( * indicates equal contribution )


Full CV in PDF.

  • Microsoft Research Asia Oct 2023 - Apr 2024
    Research Intern (Mentors: Chong Luo)
    Working on 3D Vision
  • Korea University Mar. 2021 - Present
    M.S./Ph.D Student (Advisor: Seungryong Kim)
  • Korea National Forensic Service Jan. 2020 - June. 2020
    Research Assistant
    Worked on a national project for AI-based forensic analysis
  • Korea University Mar. 2015 - Feb. 2021
    B.S. in Computer Science