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ORCIDJongheon Jeong
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2020 – today
- 2024
[j1]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: 11035-11051 (2024)- [c20]Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. ECCV (81) 2024: 158-177 - [c19]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 - [i21]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 abs/2404.01863 (2024) - [i20]Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong:
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR abs/2406.06424 (2024) - [i19]Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. CoRR abs/2407.18658 (2024) - [i18]June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee:
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. CoRR abs/2410.05694 (2024) - 2023
- [c18]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI 2023: 8005-8013 - [c17]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR 2023: 16206-16218 - [c16]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR 2023: 19606-19616 - [c15]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. ICLR 2023 - [c14]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS 2023 - [c13]Jongheon Jeong, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. NeurIPS 2023 - [c12]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS 2023 - [i17]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. CoRR abs/2303.03023 (2023) - [i16]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR abs/2303.14096 (2023) - [i15]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR abs/2303.14814 (2023) - [i14]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR abs/2307.04787 (2023) - [i13]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR abs/2310.16318 (2023) - [i12]Jongheon Jeong, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. CoRR abs/2310.16779 (2023) - 2022
- [c11]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c10]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) 2022: 134-149 - [c9]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: 392-408 - [c8]Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS 2022 - [i11]Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR abs/2207.14315 (2022) - [i10]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 abs/2208.05117 (2022) - [i9]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR abs/2212.09000 (2022) - 2021
- [c7]Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, Ted Taekyoung Kwon:
Analyzing Spatial Differences in the TLS Security of Delegated Web Services. AsiaCCS 2021: 475-487 - [c6]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR 2021 - [c5]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: 30153-30168 - [i8]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i7]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR abs/2103.09742 (2021) - [i6]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR abs/2107.08943 (2021) - [i5]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR abs/2111.09277 (2021) - 2020
- [c4]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR 2020: 13893-13902 - [c3]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS 2020 - [c2]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS 2020 - [i4]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR abs/2004.00431 (2020) - [i3]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR abs/2006.04062 (2020) - [i2]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR abs/2007.08176 (2020)
2010 – 2019
- 2019
- [c1]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. ICML 2019: 3080-3090 - [i1]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. CoRR abs/1905.04509 (2019)
Coauthor Index
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last updated on 2024-11-18 20:41 CET by the dblp team
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