Підписатись
Jongheon Jeong
Jongheon Jeong
Assistant Professor, Korea University
Підтверджена електронна адреса в korea.ac.kr - Домашня сторінка
Назва
Посилання
Посилання
Рік
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
J Tack*, S Mo*, J Jeong, J Shin
Advances in Neural Information Processing Systems 33, 11839-11852, 2020
7062020
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation
Y Zou, J Jeong, L Pemula, D Zhang, O Dabeer
Proceedings of the 17th European Conference on Computer Vision, 392-408, 2022
3252022
M2m: Imbalanced Classification via Major-to-minor Translation
J Kim*, J Jeong*, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2862020
WinCLIP: Zero-/few-shot Anomaly Classification and Segmentation
J Jeong, Y Zou, T Kim, D Zhang, A Ravichandran, O Dabeer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2212023
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
T Gong, J Jeong, T Kim, Y Kim, J Shin, SJ Lee
Advances in Neural Information Processing Systems, 2022
152*2022
Consistency Regularization for Certified Robustness of Smoothed Classifiers
J Jeong, J Shin
Advances in Neural Information Processing Systems 33, 10558-10570, 2020
972020
Training GANs with Stronger Augmentations via Contrastive Discriminator
J Jeong, J Shin
International Conference on Learning Representations, 2021
812021
Consistency Regularization for Adversarial Robustness
J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8414-8422, 2022
652022
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
J Jeong, S Park, M Kim, HC Lee, DG Kim, J Shin
Advances in Neural Information Processing Systems 34, 30153-30168, 2021
602021
Collaborative Score Distillation for Consistent Visual Editing
S Kim*, K Lee*, JS Choi, J Jeong, K Sohn, J Shin
Thirty-seventh Conference on Neural Information Processing Systems, 2023
36*2023
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
J Park, S Yun, J Jeong, J Shin
ECCV Workshop on Learning from Limited and Imperfect Data (L2ID), 2022
342022
Representation Alignment for Generation: Training Diffusion Transformers is Easier Than You Think
S Yu, S Kwak, H Jang, J Jeong, J Huang, J Shin, S Xie
arXiv preprint arXiv:2410.06940, 2024
282024
Guiding Energy-based Models via Contrastive Latent Variables
H Lee, J Jeong, S Park, J Shin
International Conference on Learning Representations, 2023
172023
Training CNNs with Selective Allocation of Channels
J Jeong, J Shin
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
162019
Multi-scale Diffusion Denoised Smoothing
J Jeong, J Shin
Advances in Neural Information Processing Systems 36, 2024
82024
AutoML Challenge: AutoML Framework using Random Space Partitioning Optimizer
J Kim, J Jeong, S Choi
Workshop on Automated Machine Learning (AutoML), ICML, 1-4, 2016
82016
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
J Jeong, S Kim, J Shin
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8005-8013, 2023
52023
Few-shot anomaly detection via personalization
S Kwak, J Jeong, H Lee, W Kim, D Seo, W Yun, W Lee, J Shin
IEEE Access 12, 11035-11051, 2024
32024
Confidence-aware reward optimization for fine-tuning text-to-image models
K Kim, J Jeong, M An, M Ghavamzadeh, K Dvijotham, J Shin, K Lee
arXiv preprint arXiv:2404.01863, 2024
22024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
JS Choi, K Lee, J Jeong, S Xie, J Shin, K Lee
arXiv preprint arXiv:2410.05694, 2024
12024
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