| Cost aggregation with 4d convolutional swin transformer for few-shot segmentation S Hong, S Cho, J Nam, S Lin, S Kim European Conference on Computer Vision, 108-126, 2022 | 122* | 2022 |
| Cats: Cost aggregation transformers for visual correspondence S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim Advances in Neural Information Processing Systems 34, 9011-9023, 2021 | 85* | 2021 |
| Cat-seg: Cost aggregation for open-vocabulary semantic segmentation S Cho, H Shin, S Hong, A Arnab, PH Seo, S Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 37 | 2024 |
| Diffface: Diffusion-based face swapping with facial guidance K Kim, Y Kim, S Cho, J Seo, J Nam, K Lee, S Kim, KH Lee arXiv preprint arXiv:2212.13344, 2022 | 27 | 2022 |
| Cats++: Boosting cost aggregation with convolutions and transformers S Cho, S Hong, S Kim IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7174-7194, 2022 | 23 | 2022 |
| Midms: Matching interleaved diffusion models for exemplar-based image translation J Seo, G Lee, S Cho, J Lee, S Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2191-2199, 2023 | 18 | 2023 |
| Lanit: Language-driven image-to-image translation for unlabeled data J Park, S Kim, S Kim, S Cho, J Yoo, Y Uh, S Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 9 | 2023 |
| Neural matching fields: Implicit representation of matching fields for visual correspondence S Hong, J Nam, S Cho, S Hong, S Jeon, D Min, S Kim Advances in Neural Information Processing Systems 35, 13512-13526, 2022 | 6 | 2022 |
| Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence S Hong, S Cho, S Kim, S Lin The Twelfth International Conference on Learning Representations, 2023 | 5* | 2023 |
| DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation J Song, S Park, H An, S Cho, MS Kwak, S Cho, S Kim Advances in Neural Information Processing Systems 36, 2024 | 3* | 2024 |
| AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning J Kim, K Ryoo, G Lee, S Cho, J Seo, D Kim, H Cho, S Kim arXiv preprint arXiv:2201.10444, 2022 | 2 | 2022 |
| FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking S Cho, J Huang, S Kim, JY Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Local All-Pair Correspondence for Point Tracking S Cho, J Huang, J Nam, H An, S Kim, JY Lee arXiv preprint arXiv:2407.15420, 2024 | | 2024 |
| Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification IH Kim, JB Lee, S Son, W Jin, K Cho, J Seo, MS Kwak, S Cho, JY Baek, ... arXiv preprint arXiv:2406.16042, 2024 | | 2024 |
| CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation Supplementary Materials S Cho, H Shin, S Hong, A Arnab, PH Seo, S Kim | | |
Seungryong KimKorea UniversityVerified email at korea.ac.kr
