Seong Joon Oh
Seong Joon Oh
NAVER AI Lab
Verified email at navercorp.com - Homepage
Title
Cited by
Cited by
Year
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
4572019
Towards Reverse-Engineering Black-Box Neural Networks
SJ Oh, M Augustin, B Schiele, M Fritz
International Conference on Learning Representations, 2018
1362018
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, 2017
1292017
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 International Conference on Computer Vision, 2019
1092019
Faceless person recognition: Privacy implications in social media
SJ Oh, R Benenson, M Fritz, B Schiele
European Conference on Computer Vision, 19-35, 2016
1062016
Natural and effective obfuscation by head inpainting
Q Sun, L Ma, SJ Oh, L Van Gool, B Schiele, M Fritz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
882018
Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective
S Joon Oh, M Fritz, B Schiele
IEEE International Conference on Computer Vision, 2017
83*2017
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
722016
Person recognition in personal photo collections
SJ Oh, R Benenson, M Fritz, B Schiele
Proceedings of the IEEE International Conference on Computer Vision, 3862-3870, 2015
572015
Generating descriptions with grounded and co-referenced people
A Rohrbach, M Rohrbach, S Tang, SJ Oh, B Schiele
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
452017
Evaluating Weakly Supervised Object Localization Methods Right
J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim
IEEE Conference on Computer Vision and Pattern Recognition, 2020
412020
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
International Conference on Machine Learning, 2020
232020
Modeling Uncertainty with Hedged Instance Embedding
SJ Oh, AC Gallagher, F Schroff, J Pan, J Roth, K Murphy
Seventh International Conference on Learning Representations, 2019
232019
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
21*2019
Sequential Attacks on Agents for Long-Term Adversarial Goals
E Tretschk, SJ Oh, M Fritz
2. ACM Computer Science in Cars Symposium -- Future Challenges in Artificial …, 2018
202018
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 6, 2021
14*2021
Reliable Fidelity and Diversity Metrics for Generative Models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning, 2020
132020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2019
112019
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
arXiv preprint arXiv:2101.05022, 2021
72021
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
J Lee, S Park, J Baek, SJ Oh, S Kim, H Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
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Articles 1–20