| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo International Conference on Computer Vision (ICCV), 2019 | 5747 | 2019 |
| Rethinking spatial dimensions of vision transformers B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh International Conference on Computer Vision (ICCV), 2021 | 646 | 2021 |
| SWAD: Domain Generalization by Seeking Flat Minima J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park Neural Information Processing Systems (NeurIPS), 2021 | 430 | 2021 |
| Photorealistic Style Transfer via Wavelet Transforms J Yoo, Y Uh, S Chun, B Kang, JW Ha International Conference on Computer Vision (ICCV), 2019 | 398 | 2019 |
| Learning De-biased Representations with Biased Representations H Bahng, S Chun, S Yun, J Choo, SJ Oh International Conference on Machine Learning (ICML), 2020 | 314 | 2020 |
| Probabilistic Embeddings for Cross-Modal Retrieval S Chun, SJ Oh, RS de Rezende, Y Kalantidis, D Larlus Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 234 | 2021 |
| Evaluating Weakly Supervised Object Localization Methods Right J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 222 | 2020 |
| AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha International Conference on Learning Representations (ICLR), 2021 | 198* | 2021 |
| 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 167 | 2021 |
| Domain Generalization by Mutual-Information Regularization with Pre-trained Models J Cha, K Lee, S Park, S Chun European Conference on Computer Vision (ECCV), 2022 | 140 | 2022 |
| Dataset Condensation with Contrastive Signals S Lee, S Chun, S Jung, S Yun, S Yoon International Conference on Machine Learning (ICML), 2022 | 108 | 2022 |
| ViDT: An Efficient and Effective Fully Transformer-based Object Detector H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang International Conference on Learning Representations (ICLR), 2022 | 103 | 2022 |
| Few-shot Compositional Font Generation with Dual Memory J Cha, S Chun, G Lee, B Lee, S Kim, H Lee European Conference on Computer Vision (ECCV), 2020 | 90 | 2020 |
| Few-shot Font Generation with Localized Style Representations and Factorization S Park, S Chun, J Cha, B Lee, H Shim AAAI Conference on Artificial Intelligence, 2021 | 89 | 2021 |
| Data-driven Harmonic Filters for Audio Representation Learning M Won, S Chun, O Nieto, X Serra International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 | 84 | 2020 |
| Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts S Park, S Chun, J Cha, B Lee, H Shim International Conference on Computer Vision (ICCV), 2021 | 83 | 2021 |
| Toward interpretable music tagging with self-attention M Won, S Chun, X Serra arXiv preprint arXiv:1906.04972, 2019 | 67 | 2019 |
| An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning, 2019 | 60 | 2019 |
| Which shortcut cues will dnns choose? a study from the parameter-space perspective L Scimeca, SJ Oh, S Chun, M Poli, S Yun International Conference on Learning Representations (ICLR), 2022 | 52 | 2022 |
| Learning Fair Classifiers with Partially Annotated Group Labels S Jung, S Chun, T Moon Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 51 | 2022 |
Sangdoo YunNAVER AI LabVerified email at navercorp.com