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2020 – today
- 2024
[c37]Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) 2024: 11496-11517- [c36]Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
Calibrating Large Language Models Using Their Generations Only. ACL (1) 2024: 15440-15459 - [i51]Martin Gubri
, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR abs/2402.12991 (2024) - [i50]Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci:
Pretrained Visual Uncertainties. CoRR abs/2402.16569 (2024) - [i49]Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh:
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. CoRR abs/2402.19460 (2024) - [i48]Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
Calibrating Large Language Models Using Their Generations Only. CoRR abs/2403.05973 (2024) - [i47]Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh:
Do Deep Neural Network Solutions Form a Star Domain? CoRR abs/2403.07968 (2024) - [i46]Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh:
Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts. CoRR abs/2404.16032 (2024) - [i45]Alexander Rubinstein, Luca Scimeca, Damien Teney, Seong Joon Oh:
Scalable Ensemble Diversification for OOD Generalization and Detection. CoRR abs/2409.16797 (2024) - [i44]Elisa Nguyen, Johannes Bertram, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh:
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI. CoRR abs/2409.16978 (2024) - 2023
- [j3]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1732-1748 (2023) - [c35]Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. ICCV 2023: 5784-5795 - [c34]Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh:
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV 2023: 20143-20155 - [c33]Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh:
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. ICML 2023: 17085-17104 - [c32]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023 - [c31]Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci:
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. NeurIPS 2023 - [c30]Elisa Nguyen, Minjoon Seo, Seong Joon Oh:
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning. NeurIPS 2023 - [c29]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS 2023 - [i43]Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh:
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. CoRR abs/2302.02865 (2023) - [i42]Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh:
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR abs/2303.17595 (2023) - [i41]Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz:
Playing repeated games with Large Language Models. CoRR abs/2305.16867 (2023) - [i40]Elisa Nguyen, Minjoon Seo, Seong Joon Oh:
A Bayesian Perspective On Training Data Attribution. CoRR abs/2305.19765 (2023) - [i39]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - [i38]Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci:
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. CoRR abs/2307.03810 (2023) - [i37]Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh:
Trustworthy Machine Learning. CoRR abs/2310.08215 (2023) - [i36]Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh:
Exploring Practitioner Perspectives On Training Data Attribution Explanations. CoRR abs/2310.20477 (2023) - [i35]Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Armand Mihai Nicolicioiu, Yoshua Bengio:
Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. CoRR abs/2311.16176 (2023) - 2022
- [c28]Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han:
ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification. AAAI 2022: 10894-10902 - [c27]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - [c26]Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh:
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. ECCV (8) 2022: 1-19 - [c25]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR 2022 - [c24]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c23]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022 - [i34]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - [i33]Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh:
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. CoRR abs/2204.03359 (2022) - [i32]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i31]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR abs/2209.00613 (2022) - [i30]Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. CoRR abs/2210.08457 (2022) - [i29]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR abs/2211.02291 (2022) - 2021
- [j2]Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim:
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - [c22]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR 2021: 2340-2350 - [c21]Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus:
Probabilistic Embeddings for Cross-Modal Retrieval. CVPR 2021: 8415-8424 - [c20]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. ICCV 2021: 8330-8340 - [c19]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c18]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha:
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021 - [c17]Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg:
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS 2021: 9977-9989 - [i28]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR abs/2101.05022 (2021) - [i27]Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus:
Probabilistic Embeddings for Cross-Modal Retrieval. CoRR abs/2101.05068 (2021) - [i26]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i25]Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg:
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR abs/2106.04165 (2021) - [i24]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. CoRR abs/2106.07861 (2021) - [i23]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR abs/2110.03095 (2021) - [i22]Hazel Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han:
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification. CoRR abs/2112.11916 (2021) - 2020
- [j1]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 203-220 (2020) - [c16]Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CVPR Workshops 2020: 2326-2335 - [c15]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020: 3130-3139 - [c14]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [c13]Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo:
Reliable Fidelity and Diversity Metrics for Generative Models. ICML 2020: 7176-7185 - [i21]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CoRR abs/2001.07437 (2020) - [i20]Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo:
Reliable Fidelity and Diversity Metrics for Generative Models. CoRR abs/2002.09797 (2020) - [i19]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i18]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha:
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR abs/2006.08217 (2020) - [i17]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR abs/2007.04178 (2020) - [i16]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR abs/2012.03457 (2020)
2010 – 2019
- 2019
- [c12]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019: 4714-4722 - [c11]Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe:
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV 2019: 6022-6031 - [c10]Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embeddings. ICLR (Poster) 2019 - [p1]Seong Joon Oh, Bernt Schiele, Mario Fritz:
Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI 2019: 121-144 - [i15]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR abs/1904.01906 (2019) - [i14]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i13]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. CoRR abs/1910.02806 (2019) - [i12]Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CoRR abs/1910.04396 (2019) - 2018
- [b1]Seong Joon Oh:
Image manipulation against learned models: privacy and security implications. Saarland University, Saarbrücken, Germany, 2018 - [c9]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059 - [c8]Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele:
Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) 2018 - [i11]Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz:
Understanding and Controlling User Linkability in Decentralized Learning. CoRR abs/1805.05838 (2018) - [i10]Edgar Tretschk, Seong Joon Oh, Mario Fritz:
Sequential Attacks on Agents for Long-Term Adversarial Goals. CoRR abs/1805.12487 (2018) - [i9]Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embedding. CoRR abs/1810.00319 (2018) - 2017
- [c7]Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele:
Generating Descriptions with Grounded and Co-referenced People. CVPR 2017: 4196-4206 - [c6]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR 2017: 5038-5047 - [c5]Seong Joon Oh, Mario Fritz, Bernt Schiele:
Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. ICCV 2017: 1491-1500 - [i8]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting saliency for object segmentation from image level labels. CoRR abs/1701.08261 (2017) - [i7]Seong Joon Oh, Mario Fritz, Bernt Schiele:
Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective. CoRR abs/1703.09471 (2017) - [i6]Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele:
Generating Descriptions with Grounded and Co-Referenced People. CoRR abs/1704.01518 (2017) - [i5]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Social Media Photos. CoRR abs/1710.03224 (2017) - [i4]Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz:
Whitening Black-Box Neural Networks. CoRR abs/1711.01768 (2017) - [i3]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CoRR abs/1711.09001 (2017) - 2016
- [c4]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Faceless Person Recognition: Privacy Implications in Social Media. ECCV (3) 2016: 19-35 - [c3]Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu:
Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys (Companion Volume) 2016: 93 - [c2]Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu:
I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys 2016: 235-248 - [i2]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Faceless Person Recognition; Privacy Implications in Social Media. CoRR abs/1607.08438 (2016) - 2015
- [c1]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. ICCV 2015: 3862-3870 - [i1]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. CoRR abs/1509.03502 (2015)
Coauthor Index
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