Jongheon Jeong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Novelty Detection

Diffusion Models

Discriminative Classifiers

Top Venues

Publications

Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR (2024)
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
Adversarial Robustification via Text-to-Image Diffusion Models. CoRR (2024)
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. ICLR (2024)
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin
Few-Shot Anomaly Detection via Personalization. IEEE Access 12 (2024)
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. CoRR (2024)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR (2023)
Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. CoRR (2023)
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR (2023)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR (2023)
Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR (2023)
Jongheon Jeong, Jinwoo Shin
Multi-scale Diffusion Denoised Smoothing. NeurIPS (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. ICLR (2023)
Jongheon Jeong, Jinwoo Shin
Multi-scale Diffusion Denoised Smoothing. CoRR (2023)
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR (2022)
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR (2022)
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR (2022)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
Consistency Regularization for Adversarial Robustness. AAAI (2022)
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. ECCV (30) (2022)
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS (2022)
Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) (2022)
Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR (2021)
Jongheon Jeong, Jinwoo Shin
Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR (2021)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
Consistency Regularization for Adversarial Robustness. CoRR (2021)
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR (2021)
Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, Ted Taekyoung Kwon
Analyzing Spatial Differences in the TLS Security of Delegated Web Services. AsiaCCS (2021)
Jongheon Jeong, Jinwoo Shin
Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR (2021)
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS (2021)
Jongheon Jeong, Jinwoo Shin
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS (2020)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS (2020)
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR (2020)
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR (2020)
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR (2020)
Jongheon Jeong, Jinwoo Shin
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR (2020)
Jongheon Jeong, Jinwoo Shin
Training CNNs with Selective Allocation of Channels. ICML (2019)
Jongheon Jeong, Jinwoo Shin
Training CNNs with Selective Allocation of Channels. CoRR (2019)