Sunghwan Hong
Post-doc researcher at ETH Zurich
hongsu@ethz.ch
About
I did my Ph.D. at Korea University in the Computer Vision Lab, supervised by Prof. Seungryong Kim. My PhD was focused on Computer Vision and its applications, especially in the tasks of image matching, 3D reconstruction, pose estimation and novel-view rendering. During my PhD I had the opportunity to intern in Microsft Research Asia, working with Dr. Chong Luo and Dr. Jiaolong Yang. I am one of the Google Ph.D. fellowship recipient of 2023. I worked as a postdoctoral researcher with Seungryong Kim at KAIST. Now I'm at ETH Zurich as a postdoctoral fellow, working with Prof. Dr. Marc Pollefeys, who is leading CVG, and Prof. Dr. Konrad Shindler, leading PRS.I am always open to research collaboration. Also, if you are interested in semester projects (ETHZ) or master's theses (ETHZ) related to 2D/3D computer vision (check my CV for my research interests), feel free to contact me via email.
News
Education
Korea University Mar. 2021 - Feb. 2025
M.S./Ph.D in Artificial Intelligence (advisor: Seungryong Kim)
Korea UniversityMar. 2015 - Feb. 2021
B.S. in Computer Science
Publications
2025
PF3plat : Pose-Free Feed-Forward 3D Gaussian Splatting
Sunghwan Hong*, Jaewoo Jung*, Heeseong Shin, Jisang Han, Jiaolong Yang**, Chong Luo**, Seungryong Kim**
ICML 2025
Cross-View Completion Models are Zero-shot Correspondence Estimators
Honggyu An*, Jinhyeon Kim*, Seonghoon Park, Jaewoo Jung, Jisang Han, Sunghwan Hong**, Seungryong Kim**
CVPR 2025 (Highlight)
2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
Heeseong Shin, Chaehyon Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
NeurIPS 2024
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
2023
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho*, Sunghwan Hong*, Seungryong Kim
TPAMI
2022
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
2021
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 )
Vitæ
Full CV in PDF.
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ETH AI Center July 2025 - PresentPostdoctoral Researcher
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KAIST CVLAB Mar. 2025 - June 2025Postdoctoral Researcher
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ETH-Zurich CVG Group Sep 2024 - Feb 2025Visiting Researcher
Working on Robotics/Vision Foundation Model -
Microsoft Research Asia Oct 2023 - Apr 2024Research Intern (Mentors: Chong Luo)
Working on 3D Vision -
Korea University Mar. 2021 - Feb. 2025M.S./Ph.D Student (Advisor: Seungryong Kim)
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Korea National Forensic Service Jan. 2020 - June. 2020Research Assistant
Worked on a national project for AI-based forensic analysis -
Korea National Police Agency Jul. 2016 - Apr. 2018Auxiliary Police
Carried out obligatory duty of national defense -
Korea University Mar. 2015 - Feb. 2021B.S. in Computer Science