| Cutmix: Regularization strategy to train strong classifiers with localizable features S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 6113 | 2019 |
| Character region awareness for text detection Y Baek, B Lee, D Han, S Yun, H Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1227 | 2019 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 1016 | 2018 |
| A comprehensive overhaul of feature distillation B Heo, J Kim, S Yun, H Park, N Kwak, JY Choi Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 726 | 2019 |
| Rethinking spatial dimensions of vision transformers B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 705 | 2021 |
| What is wrong with scene text recognition model comparisons? dataset and model analysis J Baek, G Kim, J Lee, S Park, D Han, S Yun, SJ Oh, H Lee Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 698 | 2019 |
| Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning S Yun, J Choi, YJ Yoo, K Yun, JY Choi Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 619 | 2017 |
| Knowledge transfer via distillation of activation boundaries formed by hidden neurons B Heo, M Lee, S Yun, JY Choi Proceedings of the AAAI conference on artificial intelligence 33 (01), 3779-3787, 2019 | 618 | 2019 |
| Ocr-free document understanding transformer G Kim, T Hong, M Yim, JY Nam, J Park, J Yim, W Hwang, S Yun, D Han, ... European Conference on Computer Vision, 498-517, 2022 | 421* | 2022 |
| Attentional correlation filter network for adaptive visual tracking J Choi, H Jin Chang, S Yun, T Fischer, Y Demiris, J Young Choi Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 386 | 2017 |
| Learning de-biased representations with biased representations H Bahng, S Chun, S Yun, J Choo, SJ Oh International Conference on Machine Learning, 528-539, 2020 | 337 | 2020 |
| Context-aware deep feature compression for high-speed visual tracking J Choi, HJ Chang, T Fischer, S Yun, K Lee, J Jeong, Y Demiris, JY Choi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 256 | 2018 |
| Slowing down the weight norm increase in momentum-based optimizers B Heo, S Chun, SJ Oh, D Han, S Yun, Y Uh, JW Ha arXiv preprint arXiv:2006.08217 14, 2020 | 213* | 2020 |
| The majority can help the minority: Context-rich minority oversampling for long-tailed classification S Park, Y Hong, B Heo, S Yun, JY Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 182 | 2022 |
| Re-labeling imagenet: from single to multi-labels, from global to localized labels S Yun, SJ Oh, B Heo, D Han, J Choe, S Chun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 178 | 2021 |
| Dataset condensation via efficient synthetic-data parameterization JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song International Conference on Machine Learning, 11102-11118, 2022 | 174 | 2022 |
| Knowledge distillation with adversarial samples supporting decision boundary B Heo, M Lee, S Yun, JY Choi Proceedings of the AAAI conference on artificial intelligence 33 (01), 3771-3778, 2019 | 174 | 2019 |
| Rethinking channel dimensions for efficient model design D Han, S Yun, B Heo, YJ Yoo Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021 | 160* | 2021 |
| Propile: Probing privacy leakage in large language models S Kim, S Yun, H Lee, M Gubri, S Yoon, SJ Oh Advances in Neural Information Processing Systems 36, 2024 | 138 | 2024 |
| Prometheus: Inducing fine-grained evaluation capability in language models S Kim, J Shin, Y Cho, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ... The Twelfth International Conference on Learning Representations, 2023 | 137 | 2023 |
Dongyoon HanNAVER AI LabZweryfikowany adres z navercorp.com
