Papers & Code

2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Junsuk Choe*, Seong Joon Oh*, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim.
*Equal contribution.
arXiv, 2020.
[Paper] [Code] [Bibtex]

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.
*Equal contribution.
arXiv, 2020.
[Paper] [Code] [Project] [Bibtex]

Reliable Fidelity and Diversity Metrics for Generative Models
Muhammad Ferjad Naeem*, Seong Joon Oh*, Youngjung Uh, Yunjey Choi, Jaejun Yoo.
*Equal contribution.
International Conference on Machine Learning (ICML), 2020.
[Paper] [Code] [Youtube] [Bibtex]

Learning De-biased Representations with Biased Representations
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh.
International Conference on Machine Learning (ICML), 2020.
[Paper] [Code] [Youtube] [Bibtex]

Evaluating Weakly-Supervised Object Localization Methods Right
Junsuk Choe*, Seong Joon Oh*, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim.
*Equal contribution.
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Paper] [Code] [Bibtex]

On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee.
Workshop on Text and Documents in the Deep Learning Era, CVPR WTDDLE 2020.
[Paper] [Bibtex]

Person Recognition in Personal Photo Collections
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Paper] [Journal] [Bibtex]

2019

Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Bernt Schiele, Mario Fritz.
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning (book chapter), 2019.
[Book Chapter] [Bibtex]

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, Bernt Schiele, Mario Fritz.
FL NeurIPS, 2019.
[Paper] [Poster] [Talk] [Bibtex]

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo.
International Conference on Computer Vision (ICCV), Oral talk, 2019.
[Paper] [Code] [Talk] [Poster] [Blog] [Bibtex]

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.
International Conference on Computer Vision (ICCV), Oral talk, 2019.
[Paper] [Code] [Bibtex]

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo.
Uncertainty & Robustness in Deep Learning. ICML Workshop, 2019.
[Paper] [Bibtex]

Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew Gallagher.
International Conference on Learning Representations (ICLR), 2019.
[Paper] [Poster] [Bibtex]

2018

Sequential Attacks on Agents for Long-Term Adversarial Goals
Edgar Tretschk, Seong Joon Oh, Mario Fritz.
ACM Computer Science in Cars Symposium (CSCS), 2018.
[Paper] [Bibtex]

Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz.
International Conference on Learning Representations (ICLR), 2018.
[Paper] [Extended Abstract] [Poster] [Code] [Bibtex]

Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz.
Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Paper] [Bibtex]

2017

Adversarial Image Perturbation for Privacy Protection — A Game Theory Perspective
Seong Joon Oh, Mario Fritz, Bernt Schiele.
International Conference on Computer Vision (ICCV), 2017.
[Paper] [Poster] [Code] [Bibtex]

From Understanding to Controlling Privacy against Automatic Person Recognition in Social Media
Seong Joon Oh, Mario Fritz, Bernt Schiele.
The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security. CVPR Workshop, 2017.
[Extended Abstract] [Poster] [Bibtex].

Exploiting Saliency for Object Segmentation from Image Level Labels
Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele.
Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[Paper] [Poster] [Code] [Bibtex]

Generating Descriptions with Grounded and Co-Referenced People
Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele.
Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[Paper] [Bibtex]

2016

Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele.
European Conference on Computer Vision (ECCV), 2016.
[Paper] [Poster] [Extended Abstract] [Bibtex]

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.
International Conference on Mobile Systems, Applications, and Services (MobiSys), 2016.
[Paper] [Project] [Bibtex]

2015

Person Recognition in Personal Photo Collections
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele.
International Conference on Computer Vision (ICCV), 2015.
[Paper] [Poster] [Video] [Project] [Bibtex]