Kyungjune Baek
Kyungjune Baek
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Rethinking the truly unsupervised image-to-image translation
K Baek, Y Choi, Y Uh, J Yoo, H Shim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Psynet: Self-supervised approach to object localization using point symmetric transformation
K Baek, M Lee, H Shim
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10451 …, 2020
GridMix: Strong regularization through local context mapping
K Baek, D Bang, H Shim
Pattern Recognition 109, 107594, 2021
Commonality in natural images rescues GANs: Pretraining GANs with generic and privacy-free synthetic data
K Baek, H Shim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Editable generative adversarial networks: Generating and editing faces simultaneously
K Baek, D Bang, H Shim
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
Logit mixing training for more reliable and accurate prediction
D Bang, K Baek, J Kim, Y Jeon, JH Kim, J Kim, J Lee, H Shim
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
Learning from Better Supervision: Self-distillation for Learning with Noisy Labels
K Baek, S Lee, H Shim
2022 26th International Conference on Pattern Recognition (ICPR), 1829-1835, 2022
Generic and Privacy-free Synthetic Data Generation for Pretraining GANs
K Baek, H Shim
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022
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