Seong Joon Oh

According to our database, Seong Joon Oh authored at least 61 papers between 2016 and 2024.

Collaborative distances:

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

2024

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI.

Elisa Nguyen, Johannes Bertram, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh

CoRR, 2024

Scalable Ensemble Diversification for OOD Generalization and Detection.

Alexander Rubinstein, Luca Scimeca, Damien Teney, Seong Joon Oh

CoRR, 2024

Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts.

Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh

CoRR, 2024

Do Deep Neural Network Solutions Form a Star Domain?

Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

CoRR, 2024

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks.

Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh

CoRR, 2024

Pretrained Visual Uncertainties.

Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci

CoRR, 2024

Calibrating Large Language Models Using Their Generations Only.

Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification.

Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models.

Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Armand Mihai Nicolicioiu, Yoshua Bengio

CoRR, 2023

Exploring Practitioner Perspectives On Training Data Attribution Explanations.

Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh

CoRR, 2023

Trustworthy Machine Learning.

Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh

CoRR, 2023

A Bayesian Perspective On Training Data Attribution.

Elisa Nguyen, Minjoon Seo, Seong Joon Oh

CoRR, 2023

Playing repeated games with Large Language Models.

Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz

CoRR, 2023

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets.

Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad

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

A Bayesian Approach To Analysing Training Data Attribution In Deep Learning.

Elisa Nguyen, Minjoon Seo, Seong Joon Oh

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

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates.

Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci

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

ProPILE: Probing Privacy Leakage in Large Language Models.

Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh

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

Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs.

Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh

Proceedings of the International Conference on Machine Learning, 2023

Scratching Visual Transformer's Back with Uniform Attention.

Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts.

Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SelecMix: Debiased Learning by Contradicting-pair Sampling.

Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang

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

Dataset Condensation via Efficient Synthetic-Data Parameterization.

Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song

Proceedings of the International Conference on Machine Learning, 2022

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective.

Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun

Proceedings of the Tenth International Conference on Learning Representations, 2022

ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO.

Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh

Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification.

Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han

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

2021

Region-based dropout with attention prior for weakly supervised object localization.

Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim

Pattern Recognit., 2021

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions.

Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg

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

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.

Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha

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

Keep CALM and Improve Visual Feature Attribution.

Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Spatial Dimensions of Vision Transformers.

Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Probabilistic Embeddings for Cross-Modal Retrieval.

Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Person Recognition in Personal Photo Collections.

Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., 2020

VideoMix: Rethinking Data Augmentation for Video Classification.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim

CoRR, 2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

CoRR, 2020

Slowing Down the Weight Norm Increase in Momentum-based Optimizers.

Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha

CoRR, 2020

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.

Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo

CoRR, 2020

Reliable Fidelity and Diversity Metrics for Generative Models.

Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning De-biased Representations with Biased Representations.

Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh

Proceedings of the 37th International Conference on Machine Learning, 2020

On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention.

Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee

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

Evaluating Weakly Supervised Object Localization Methods Right.

Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

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

2019

Towards Reverse-Engineering Black-Box Neural Networks.

Seong Joon Oh, Bernt Schiele, Mario Fritz

Proceedings of the Explainable AI: Interpreting, 2019

Modeling Uncertainty with Hedged Instance Embeddings.

Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher

Proceedings of the 7th International Conference on Learning Representations, 2019

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis.

Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Image manipulation against learned models: privacy and security implications.

Seong Joon Oh

PhD thesis, 2018

Modeling Uncertainty with Hedged Instance Embedding.

Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher

CoRR, 2018

Sequential Attacks on Agents for Long-Term Adversarial Goals.

Edgar Tretschk, Seong Joon Oh, Mario Fritz

CoRR, 2018

Understanding and Controlling User Linkability in Decentralized Learning.

Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz

CoRR, 2018

Towards Reverse-Engineering Black-Box Neural Networks.

Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele

Proceedings of the 6th International Conference on Learning Representations, 2018

Natural and Effective Obfuscation by Head Inpainting.

Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Whitening Black-Box Neural Networks.

Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz

CoRR, 2017

Person Recognition in Social Media Photos.

Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

CoRR, 2017

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective.

Seong Joon Oh, Mario Fritz, Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2017

Generating Descriptions with Grounded and Co-referenced People.

Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Saliency for Object Segmentation from Image Level Labels.

Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Demo: I-Pic: A Platform for Privacy-Compliant Image Capture.

Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

I-Pic: A Platform for Privacy-Compliant Image Capture.

Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Faceless Person Recognition: Privacy Implications in Social Media.

Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2016, 2016