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ORCIDSeokju Cho
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2020 – today
- 2024
[c10]Seokju Cho, Heeseong Shin, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CVPR 2024: 4113-4123- [c9]Seokju Cho, Jiahui Huang, Seungryong Kim, Joon-Young Lee:
FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking. CVPR 2024: 19268-19277 - [c8]Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee:
Local All-Pair Correspondence for Point Tracking. ECCV (10) 2024: 306-325 - [c7]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. ICLR 2024 - [i15]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. CoRR abs/2403.11120 (2024) - [i14]Inès Hyeonsu Kim, Joungbin Lee, Soowon Son, Woojeong Jin, Kyusun Cho, Junyoung Seo, Minseop Kwak, Seokju Cho, JeongYeol Baek, Byeongwon Lee, Seungryong Kim:
Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification. CoRR abs/2406.16042 (2024) - [i13]Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee:
Local All-Pair Correspondence for Point Tracking. CoRR abs/2407.15420 (2024) - [i12]Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. CoRR abs/2409.19846 (2024) - 2023
- [j1]Seokju Cho
, Sunghwan Hong, Seungryong Kim:
CATs++: Boosting Cost Aggregation With Convolutions and Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7174-7194 (2023) - [c6]Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim:
MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. AAAI 2023: 2191-2199 - [c5]Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim:
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. CVPR 2023: 23401-23411 - [c4]Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim:
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation. NeurIPS 2023 - [i11]Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CoRR abs/2303.11797 (2023) - [i10]Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim:
DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation. CoRR abs/2305.19201 (2023) - 2022
- [c3]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. ECCV (29) 2022: 108-126 - [c2]Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim:
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. NeurIPS 2022 - [i9]Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim:
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. CoRR abs/2201.10444 (2022) - [i8]Seokju Cho, Sunghwan Hong, Seungryong Kim:
CATs++: Boosting Cost Aggregation with Convolutions and Transformers. CoRR abs/2202.06817 (2022) - [i7]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. CoRR abs/2207.10866 (2022) - [i6]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. CoRR abs/2209.08742 (2022) - [i5]Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim:
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. CoRR abs/2209.11047 (2022) - [i4]Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim:
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. CoRR abs/2210.02689 (2022) - [i3]Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kyuchul Lee, Seungryong Kim, Kwanghee Lee:
DiffFace: Diffusion-based Face Swapping with Facial Guidance. CoRR abs/2212.13344 (2022) - 2021
- [c1]Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim:
CATs: Cost Aggregation Transformers for Visual Correspondence. NeurIPS 2021: 9011-9023 - [i2]Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim:
Semantic Correspondence with Transformers. CoRR abs/2106.02520 (2021) - [i1]Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim:
Cost Aggregation Is All You Need for Few-Shot Segmentation. CoRR abs/2112.11685 (2021)
Coauthor Index
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