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Korea University, Seoul, Korea
- PhD Student in Computer Science and Engineering
- Mar. 2022 - Present
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Yonsei University, Seoul, Korea
- BS in Computer Science
- Mar. 2018 - Feb. 2022
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Adobe, San Jose, CA
- Research Intern
- June 2024 - Sep. 2024
- Mentor: Gabriel Huang, Joon-Young Lee
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Adobe, San Jose, CA
- Research Intern
- June 2023 - Sep. 2023
- Mentor: Joon-Young Lee, Gabriel Huang
Local All-Pair Correspondence for Point Tracking
Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, and Joon-Young Lee
European Conference on Computer Vision (ECCV), 2024.
FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
Seokju Cho, Jiahui Huang, Seungryong Kim, and Joon-Young Lee
IEEE Conference Computer Vision Pattern Recognition (CVPR), 2024.
[arXiv]
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
Seokju Cho*, Heeseong Shin*, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, and Seungryong Kim
IEEE Conference Computer Vision Pattern Recognition (CVPR), Highlight (2.8% Acceptance Rate), 2024.
[Project Page] [arXiv]
Unifying Feature and Cost Aggregation with Transformers for Dense Correspondence
Sunghwan Hong*, Seokju Cho*, Seungryong Kim, and Stephen Lin
International Conference on Learning Representations (ICLR), 2024.
DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation
Jiuhn Song*, Seonghoon Park*, Honggyu An*, Seokju Cho, Min-Seop Kwak, Sungjin Cho, and Seungryong Kim
Neural Information Processing Systems (NeurIPS), 2023.
[Project Page] [arXiv]
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
Jihye Park*, Sunwoo Kim*, Soohyun Kim*, Seokju Cho, Jaejun Yoo, Youngjung Uh, and Seungryong Kim
IEEE Conference Computer Vision Pattern Recognition (CVPR), 2023.
[Project Page] [arXiv]
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo*, Gyuseong Lee*, Seokju Cho, Jiyoung Lee, Seungryong Kim
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[Project Page] [arXiv]
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho*, Sunghwan Hong*, and Seungryong Kim
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (Impact Factor: 24.314).
[Project Page] [arXiv]
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, and Seungryong Kim
Neural Information Processing Systems (NeurIPS), 2022.
[Project Page] [arXiv]
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong*, Seokju Cho*, Jisu Nam, Stephen Lin, and Seungryong Kim
European Conference on Computer Vision (ECCV), 2022.
[Project Page] [arXiv]
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho*, Sunghwan Hong*, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, and Seungryong Kim
Neural Information Processing Systems (NeurIPS), 2021.
[Project Page] [arXiv] [Github]
Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification
Inès Hyeonsu Kim, JoungBin Lee, Soowon Son, Woojeong Jin, Kyusun Cho, Junyoung Seo, Min-Seop Kwak, Seokju Cho, JeongYeol Baek, Byeongwon Lee, Seungryong Kim
ArXiv Preprint, 2024.
[arXiv]
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim*, Yunho Kim*, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
ArXiv Preprint, 2022.
[Project Page] [arXiv]
- 2024 - CVPR
- 2023 - CVPR, NeurIPS
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Google, June, 2024
- Google East Asia Student Travel Grants for CVPR
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Ministry of Science and ICT & National IT Industry Promotion Agency, Sep. 2021
- AI Online Competition, 3rd Place Award, Won 300M KRW
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