Seong Joon Oh

ORCID

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 81

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
Playing repeated games with Large Language Models. CoRR (2023)
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)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS (2023)
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) (2023)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR (2023)
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. NeurIPS (2023)
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 (2023)
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 (2023)
Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh
Trustworthy Machine Learning. CoRR (2023)
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. CoRR (2023)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS (2023)
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. CoRR (2023)
Elisa Nguyen, Minjoon Seo, Seong Joon Oh
A Bayesian Perspective On Training Data Attribution. CoRR (2023)
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. ICML (2023)
Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
Exploring Practitioner Perspectives On Training Data Attribution Explanations. CoRR (2023)
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)
Elisa Nguyen, Minjoon Seo, Seong Joon Oh
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning. NeurIPS (2023)
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 (2022)
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 (2022)
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)
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)
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)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR (2022)
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)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR (2022)
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 (2022)
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 (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR (2022)
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)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CVPR (2021)
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 (2021)
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 (2021)
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)
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)
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 (2021)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. CoRR (2021)
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 (2021)
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 (2021)
Jae Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
Keep CALM and Improve Visual Feature Attribution. CoRR (2021)
Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
Keep CALM and Improve Visual Feature Attribution. ICCV (2021)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CoRR (2021)
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)
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
Rethinking Spatial Dimensions of Vision Transformers. ICCV (2021)
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
Reliable Fidelity and Diversity Metrics for Generative Models. CoRR (2020)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CVPR (2020)
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)
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 (2020)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. ICML (2020)
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR (2020)
Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluating Weakly Supervised Object Localization Methods Right. CoRR (2020)
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR (2020)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR (2020)
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
Reliable Fidelity and Diversity Metrics for Generative Models. ICML (2020)
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)
Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CoRR (2019)
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 (2019)
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)
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR (2019)
Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
Modeling Uncertainty with Hedged Instance Embeddings. ICLR (Poster) (2019)
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
Learning De-biased Representations with Biased Representations. CoRR (2019)
Edgar Tretschk, Seong Joon Oh, Mario Fritz
Sequential Attacks on Agents for Long-Term Adversarial Goals. CoRR (2018)
Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
Natural and Effective Obfuscation by Head Inpainting. CVPR (2018)
Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
Modeling Uncertainty with Hedged Instance Embedding. CoRR (2018)
Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz
Understanding and Controlling User Linkability in Decentralized Learning. CoRR (2018)
Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele
Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) (2018)
Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
Generating Descriptions with Grounded and Co-Referenced People. CoRR (2017)
Seong Joon Oh, Mario Fritz, Bernt Schiele
Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective. CoRR (2017)
Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz
Whitening Black-Box Neural Networks. CoRR (2017)
Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
Natural and Effective Obfuscation by Head Inpainting. CoRR (2017)
Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
Generating Descriptions with Grounded and Co-referenced People. CVPR (2017)
Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR (2017)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Person Recognition in Social Media Photos. CoRR (2017)
Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
Exploiting saliency for object segmentation from image level labels. CoRR (2017)
Seong Joon Oh, Mario Fritz, Bernt Schiele
Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. ICCV (2017)
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)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Faceless Person Recognition: Privacy Implications in Social Media. ECCV (3) (2016)
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)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Faceless Person Recognition; Privacy Implications in Social Media. CoRR (2016)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Person Recognition in Personal Photo Collections. ICCV (2015)
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Person Recognition in Personal Photo Collections. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Seong Joon Oh