| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo IEEE International Conference on Computer Vision, 2019 | 5483 | 2019 |
| 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 IEEE International Conference on Computer Vision, 2019 | 647 | 2019 |
| Rethinking spatial dimensions of vision transformers B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh IEEE/CVF International Conference on Computer Vision, 11936-11945, 2021 | 631 | 2021 |
| Towards Reverse-Engineering Black-Box Neural Networks SJ Oh, M Augustin, B Schiele, M Fritz International Conference on Learning Representations, 2018 | 444 | 2018 |
| Reliable Fidelity and Diversity Metrics for Generative Models MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo International Conference on Machine Learning, 2020 | 325 | 2020 |
| Learning De-biased Representations with Biased Representations H Bahng, S Chun, S Yun, J Choo, SJ Oh International Conference on Machine Learning, 2020 | 295 | 2020 |
| Exploiting saliency for object segmentation from image level labels SJ Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 264 | 2017 |
| Natural and effective obfuscation by head inpainting Q Sun, L Ma, SJ Oh, L Van Gool, B Schiele, M Fritz IEEE Conference on Computer Vision and Pattern Recognition, 5050-5059, 2018 | 237 | 2018 |
| Probabilistic embeddings for cross-modal retrieval S Chun, SJ Oh, RS De Rezende, Y Kalantidis, D Larlus IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8415-8424, 2021 | 226 | 2021 |
| Evaluating weakly supervised object localization methods right J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3133-3142, 2020 | 219 | 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, 2021 | 193* | 2021 |
| Faceless person recognition: Privacy implications in social media SJ Oh, R Benenson, M Fritz, B Schiele Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 188 | 2016 |
| Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective SJ Oh, M Fritz, B Schiele IEEE International Conference on Computer Vision, 2017 | 185 | 2017 |
| 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2340-2350, 2021 | 164 | 2021 |
| On recognizing texts of arbitrary shapes with 2D self-attention J Lee, S Park, J Baek, SJ Oh, S Kim, H Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2020 | 158 | 2020 |
| I-pic: A platform for privacy-compliant image capture P Aditya, R Sen, P Druschel, SJ Oh, R Benenson, M Fritz, B Schiele, ... International Conference on Mobile Systems, Applications, and Services, 235-248, 2016 | 137 | 2016 |
| 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 | 132 | 2022 |
| Modeling Uncertainty with Hedged Instance Embedding SJ Oh, AC Gallagher, F Schroff, J Pan, J Roth, K Murphy International Conference on Learning Representations, 2019 | 118 | 2019 |
| Playing repeated games with large language models E Akata, L Schulz, J Coda-Forno, SJ Oh, M Bethge, E Schulz arXiv preprint arXiv:2305.16867, 2023 | 103 | 2023 |
| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data J Lee, SJ Oh, S Yun, J Choe, E Kim, S Yoon IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 96 | 2022 |
Sangdoo YunNAVER AI LabVerified email at navercorp.com
