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Seong Joon Oh
Seong Joon Oh
University of Tübingen
Verifierad e-postadress på parameterlab.de - Startsida
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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
61602019
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
7062021
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
7012019
Towards Reverse-Engineering Black-Box Neural Networks
SJ Oh, M Augustin, B Schiele, M Fritz
International Conference on Learning Representations, 2018
4792018
Reliable Fidelity and Diversity Metrics for Generative Models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning, 2020
3852020
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
International Conference on Machine Learning, 2020
3382020
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
2682017
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
2572018
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
2562021
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
2282020
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
213*2021
Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective
SJ Oh, M Fritz, B Schiele
IEEE International Conference on Computer Vision, 2017
1942017
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
1922016
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
1792021
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
1792020
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
1752022
Propile: Probing privacy leakage in large language models
S Kim, S Yun, H Lee, M Gubri, S Yoon, SJ Oh
Advances in Neural Information Processing Systems 36, 2024
1402024
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
1392016
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
1322023
Modeling Uncertainty with Hedged Instance Embedding
SJ Oh, AC Gallagher, F Schroff, J Pan, J Roth, K Murphy
International Conference on Learning Representations, 2019
1222019
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Artiklar 1–20