| Fcss: Fully convolutional self-similarity for dense semantic correspondence S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 170 | 2017 |
| Recurrent transformer networks for semantic correspondence S Kim, S Lin, SR Jeon, D Min, K Sohn Advances in neural information processing systems 31, 2018 | 110 | 2018 |
| 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 | 81 | 2021 |
| Parn: Pyramidal affine regression networks for dense semantic correspondence S Jeon, S Kim, D Min, K Sohn Proceedings of the European Conference on Computer Vision (ECCV), 351-366, 2018 | 67 | 2018 |
| Semantic attribute matching networks S Kim, D Min, S Jeong, S Kim, S Jeon, K Sohn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Mining better samples for contrastive learning of temporal correspondence S Jeon, D Min, S Kim, K Sohn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| Guided semantic flow S Jeon, D Min, S Kim, J Choe, K Sohn Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 30 | 2020 |
| Joint learning of semantic alignment and object landmark detection S Jeon, D Min, S Kim, K Sohn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 21 | 2019 |
| Semantic correspondence with transformers S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim arXiv preprint arXiv:2106.02520 1 (2), 6, 2021 | 12 | 2021 |
| Video summarization by learning relationships between action and scene J Park, J Lee, S Jeon, K Sohn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning H Choi, H Lee, W Song, S Jeon, K Sohn, D Min 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 | 9 | 2022 |
| Unsupervised scene sketch to photo synthesis J Wang, S Jeon, SX Yu, X Zhang, H Arora, Y Lou European Conference on Computer Vision, 273-289, 2022 | 5 | 2022 |
| Pyramidal semantic correspondence networks S Jeon, S Kim, D Min, K Sohn IEEE transactions on pattern analysis and machine intelligence 44 (12), 9102 …, 2021 | 5 | 2021 |
| Graph regularization network with semantic affinity for weakly-supervised temporal action localization J Park, J Lee, S Jeon, S Kim, K Sohn 2019 IEEE International conference on image processing (ICIP), 3701-3705, 2019 | 5 | 2019 |
| Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels W Song, S Jeon, H Choi, K Sohn, D Min Expert Systems with Applications 230, 120625, 2023 | 4 | 2023 |
| Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models F Pan, S Jeon, B Wang, F Mckenna, SX Yu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Self-Supervised Structured Representations for Deep Reinforcement Learning H Choi, H Lee, W Song, S Jeon, K Sohn, D Min | 2 | 2021 |
| Learning to detect, associate, and recognize human actions and surrounding scenes in untrimmed videos J Park, S Jeon, S Kim, J Lee, S Kim, K Sohn Proceedings of the 1st Workshop and Challenge on Comprehensive Video …, 2018 | 2 | 2018 |
| Convolutional feature pyramid fusion via attention network S Jeon, S Kim, K Sohn 2017 IEEE International Conference on Image Processing (ICIP), 1007-1011, 2017 | 2 | 2017 |
