Seurat: From Moving Points to Depth
Seokju Cho, Jiahui Huang, Seungryong Kim, Joon-Young Lee
IEEE Conference Computer Vision Pattern Recognition (CVPR), 2025. Highlight (3.0% Acceptance Rate)
Work done during my internship at Adobe.
Exploring Temporally-Aware Features for Point Tracking
Inès Hyeonsu Kim*, Seokju Cho*, Jiahui Huang, Jung Yi, Joon-Young Lee, Seungryong Kim
IEEE Conference Computer Vision Pattern Recognition (CVPR), 2025.
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim*, Yunho Kim*, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
Pattern Recognition (PR), 2025.
Multi-Granularity Video Object Segmentation
Sangbeom Lim*, Seongchan Kim*, Seungjun An*, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
Neural Information Processing Systems (NeurIPS), 2024.
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.
Work done during my internship at Adobe.
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), 2024. Highlight (2.8% Acceptance Rate)
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.
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.
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.
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).
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.
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.
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.