Jongheon Jeong

According to our database, Jongheon Jeong authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

CoRR, 2024

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.

June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

CoRR, 2024

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference.

Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

CoRR, 2024

Few-Shot Anomaly Detection via Personalization.

Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin

IEEE Access, 2024

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.

Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adversarial Robustification via Text-to-Image Diffusion Models.

Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Collaborative Score Distillation for Consistent Visual Synthesis.

Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CoRR, 2023

Collaborative Score Distillation for Consistent Visual Editing.

Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-scale Diffusion Denoised Smoothing.

Jongheon Jeong, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder.

Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guiding Energy-based Models via Contrastive Latent Variables.

Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation.

Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.

Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Confidence-Aware Training of Smoothed Classifiers for Certified Robustness.

Jongheon Jeong, Seojin Kim, Jinwoo Shin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory.

Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

CoRR, 2022

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation.

Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation.

Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer

Proceedings of the Computer Vision - ECCV 2022, 2022

OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data.

Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Consistency Regularization for Adversarial Robustness.

Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness.

Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training GANs with Stronger Augmentations via Contrastive Discriminator.

Jongheon Jeong, Jinwoo Shin

Proceedings of the 9th International Conference on Learning Representations, 2021

Analyzing Spatial Differences in the TLS Security of Delegated Web Services.

Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, Ted Taekyoung Kwon

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.

Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Consistency Regularization for Certified Robustness of Smoothed Classifiers.

Jongheon Jeong, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

M2m: Imbalanced Classification via Major-to-Minor Translation.

Jaehyung Kim, Jongheon Jeong, Jinwoo Shin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Training CNNs with Selective Allocation of Channels.

Jongheon Jeong, Jinwoo Shin

Proceedings of the 36th International Conference on Machine Learning, 2019