| 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 | 2560 | 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 | 377 | 2019 |
| Towards Reverse-Engineering Black-Box Neural Networks SJ Oh, M Augustin, B Schiele, M Fritz International Conference on Learning Representations, 2018 | 302 | 2018 |
| 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 | 260 | 2021 |
| 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 | 203 | 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 | 161 | 2018 |
| 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 | 156 | 2016 |
| Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective S Joon Oh, M Fritz, B Schiele IEEE International Conference on Computer Vision, 2017 | 146* | 2017 |
| Learning De-biased Representations with Biased Representations H Bahng, S Chun, S Yun, J Choo, SJ Oh International Conference on Machine Learning, 2020 | 144 | 2020 |
| 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 | 143 | 2020 |
| Reliable Fidelity and Diversity Metrics for Generative Models MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo International Conference on Machine Learning, 2020 | 116 | 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 | 110 | 2016 |
| 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 | 100* | 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2340-2350, 2021 | 79 | 2021 |
| 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 | 77 | 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 | 72 | 2020 |
| Person recognition in personal photo collections SJ Oh, R Benenson, M Fritz, B Schiele IEEE International Conference on Computer Vision, 3862-3870, 2015 | 68 | 2015 |
| Modeling Uncertainty with Hedged Instance Embedding SJ Oh, AC Gallagher, F Schroff, J Pan, J Roth, K Murphy International Conference on Learning Representations, 2019 | 65 | 2019 |
| Generating descriptions with grounded and co-referenced people A Rohrbach, M Rohrbach, S Tang, SJ Oh, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 63 | 2017 |
| Gradient-Leaks: Understanding Deanonymization in Federated Learning T Orekondy, SJ Oh, Y Zhang, B Schiele, M Fritz The 2nd International Workshop on Federated Learning for Data Privacy and …, 2019 | 53* | 2019 |
Sanghyuk ChunNAVER AI LabVerified email at navercorp.com
