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Jongheon Jeong
Jongheon Jeong
Assistant Professor, Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
5872020
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
2412020
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
1432022
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
92*2022
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
842023
Consistency Regularization for Certified Robustness of Smoothed Classifiers
J Jeong, J Shin
Advances in Neural Information Processing Systems 33, 10558-10570, 2020
812020
Training GANs with Stronger Augmentations via Contrastive Discriminator
J Jeong, J Shin
International Conference on Learning Representations, 2021
712021
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
502021
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
492022
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
312022
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
23*2023
Training CNNs with Selective Allocation of Channels
J Jeong, J Shin
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
142019
Guiding Energy-based Models via Contrastive Latent Variables
H Lee, J Jeong, S Park, J Shin
International Conference on Learning Representations, 2023
72023
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
72016
Few-shot Anomaly Detection via Personalization
S Kwak, J Jeong, H Lee, W Kim, D Seo, W Yun, W Lee, J Shin
IEEE Access, 2024
22024
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
22023
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
12024
Multi-scale diffusion denoised smoothing
J Jeong, J Shin
Advances in Neural Information Processing Systems 36, 2024
12024
Modality-agnostic self-supervised learning with meta-learned masked auto-encoder
H Jang, J Tack, D Choi, J Jeong, J Shin
Advances in Neural Information Processing Systems 36, 2024
2024
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
J Jeong, S Yu, H Lee, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
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