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Seong Joon Oh
Seong Joon Oh
uni-tuebingen.de의 이메일 확인됨 - 홈페이지
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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
31792019
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
4242019
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
3282021
Towards Reverse-Engineering Black-Box Neural Networks
SJ Oh, M Augustin, B Schiele, M Fritz
International Conference on Learning Representations, 2018
3252018
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
2192017
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
International Conference on Machine Learning, 2020
1752020
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
1742018
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
1642016
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
1582020
Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective
S Joon Oh, M Fritz, B Schiele
IEEE International Conference on Computer Vision, 2017
154*2017
Reliable Fidelity and Diversity Metrics for Generative Models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning, 2020
1442020
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
120*2021
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
1182016
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
1072021
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
952021
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
802020
Modeling Uncertainty with Hedged Instance Embedding
SJ Oh, AC Gallagher, F Schroff, J Pan, J Roth, K Murphy
International Conference on Learning Representations, 2019
772019
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
692017
Person recognition in personal photo collections
SJ Oh, R Benenson, M Fritz, B Schiele
IEEE International Conference on Computer Vision, 3862-3870, 2015
692015
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
57*2019
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학술자료 1–20