Sunghwan Hong

About

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.

News

Sep 2024 Our paper PixelCLIP got accepted to NeurIPS 2024!

Sep 2024 I will be a visiting researcher at ETH-Zurich, in CVG Group, working with Prof. Marc Pollefeys.

April 2024 Our CoPoNeRF and CAT-Seg are selected as highlights!

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!

Education

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

Publications

2024

PF3plat : Pose-Free Feed-Forward 3D Gaussian Splatting

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

Arxiv

Paper Code

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

Paper Code

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)

Paper Code

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)

Paper Code

Unifying Feature and Cost Aggregation with Transformers for Dense Correspondence

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

ICLR 2024

Paper

2023

CATs++: Boosting Cost Aggregation with Convolutions and Transformers

Seokju Cho*, Sunghwan Hong*, Seungryong Kim

TPAMI

Paper Code

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

Paper Code

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

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

ECCV 2022

Paper Code

2021

CATs: Cost Aggregation Transformers for Visual Correspondence

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

NeurIPS 2021

Paper Code

Deep Matching Prior: Test-Time Optimization for Dense Correspondence

Sunghwan Hong, Seungryong Kim

ICCV 2021

Paper Code

***( * indicates equal contribution )***

Vitæ

Full CV in PDF.

ETH-Zurich CVG Group Sep 2024 - Feb 2025

Visiting Researcher
Working on Robotics/Vision Foundation Model
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