Követés
Sanghyuk Chun
Sanghyuk Chun
NAVER AI Lab
E-mail megerősítve itt: navercorp.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo
International Conference on Computer Vision (ICCV), 2019
61602019
Rethinking spatial dimensions of vision transformers
B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh
International Conference on Computer Vision (ICCV), 2021
7062021
SWAD: Domain Generalization by Seeking Flat Minima
J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park
Neural Information Processing Systems (NeurIPS), 2021
4672021
Photorealistic Style Transfer via Wavelet Transforms
J Yoo, Y Uh, S Chun, B Kang, JW Ha
International Conference on Computer Vision (ICCV), 2019
4112019
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
International Conference on Machine Learning (ICML), 2020
3382020
Probabilistic Embeddings for Cross-Modal Retrieval
S Chun, SJ Oh, RS de Rezende, Y Kalantidis, D Larlus
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
2562021
Evaluating Weakly Supervised Object Localization Methods Right
J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim
Conference on Computer Vision and Pattern Recognition (CVPR), 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 (ICLR), 2021
213*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
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1792021
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
J Cha, K Lee, S Park, S Chun
European Conference on Computer Vision (ECCV), 2022
1522022
Dataset Condensation with Contrastive Signals
S Lee, S Chun, S Jung, S Yun, S Yoon
International Conference on Machine Learning (ICML), 2022
1262022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang
International Conference on Learning Representations (ICLR), 2022
1092022
Few-shot Compositional Font Generation with Dual Memory
J Cha, S Chun, G Lee, B Lee, S Kim, H Lee
European Conference on Computer Vision (ECCV), 2020
972020
Few-shot Font Generation with Localized Style Representations and Factorization
S Park, S Chun, J Cha, B Lee, H Shim
AAAI Conference on Artificial Intelligence, 2021
952021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
S Park, S Chun, J Cha, B Lee, H Shim
International Conference on Computer Vision (ICCV), 2021
912021
Data-driven Harmonic Filters for Audio Representation Learning
M Won, S Chun, O Nieto, X Serra
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
882020
Toward interpretable music tagging with self-attention
M Won, S Chun, X Serra
arXiv preprint arXiv:1906.04972, 2019
702019
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo
ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning, 2019
622019
Which shortcut cues will dnns choose? a study from the parameter-space perspective
L Scimeca, SJ Oh, S Chun, M Poli, S Yun
International Conference on Learning Representations (ICLR), 2022
582022
Learning Fair Classifiers with Partially Annotated Group Labels
S Jung, S Chun, T Moon
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
572022
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Cikkek 1–20