Seong Joon Oh
Seong Joon Oh
NAVER AI Lab
Bestätigte E-Mail-Adresse bei navercorp.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
8252019
Towards Reverse-Engineering Black-Box Neural Networks
SJ Oh, M Augustin, B Schiele, M Fritz
International Conference on Learning Representations, 2018
1842018
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
1822019
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
1512017
Faceless person recognition: Privacy implications in social media
SJ Oh, R Benenson, M Fritz, B Schiele
European Conference on Computer Vision, 19-35, 2016
1162016
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
1042018
Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective
S Joon Oh, M Fritz, B Schiele
IEEE International Conference on Computer Vision, 2017
101*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
872016
Evaluating weakly supervised object localization methods right
J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
672020
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
592015
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
502017
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
International Conference on Machine Learning, 2020
432020
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
arXiv preprint arXiv:2006.08217, 2020
36*2020
Rethinking spatial dimensions of vision transformers
B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh
arXiv preprint arXiv:2103.16302, 2021
312021
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
31*2019
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
282019
Reliable Fidelity and Diversity Metrics for Generative Models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning, 2020
272020
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
242018
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
222020
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
182021
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