Seong Joon Oh - RankMe

125 papers A* 34A 1Journal 79Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models. CoRR Arnas Uselis, Andrea Dittadi, Seong Joon Oh
2026	J	`jnl`	Dynamics Reveals Structure: Challenging the Linear Propagation Assumption. CoRR Hoyeon Chang, Bálint Mucsányi, Seong Joon Oh
2026	J	`jnl`	Enhancing Multi-Image Understanding through Delimiter Token Scaling. CoRR Minyoung Lee, Yeji Park, Dongjun Hwang, Yejin Kim, Seong Joon Oh, Junsuk Choe
2026	J	`jnl`	Half-Truths Break Similarity-Based Retrieval. CoRR Bora Kargi, Arnas Uselis, Seong Joon Oh
2026	J	`jnl`	MASEval: Extending Multi-Agent Evaluation from Models to Systems. CoRR Cornelius Emde, Alexander Rubinstein, Anmol Goel, Ahmed Heakl, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2026	J	`jnl`	Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models. CoRR Anmol Goel, Cornelius Emde, Sangdoo Yun, Seong Joon Oh, Martin Gubri
2026	J	`jnl`	Universal Algorithm-Implicit Learning. CoRR Stefano Woerner, Seong Joon Oh, Christian F. Baumgartner
2025	J	`jnl`	Are We Done with Object-Centric Learning? CoRR Alexander Rubinstein, Ameya Prabhu, Matthias Bethge, Seong Joon Oh
2025	J	`jnl`	C-SEO Bench: Does Conversational SEO Work? CoRR Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
2025	J	`jnl`	CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally. CoRR Darina Koishigarina, Arnas Uselis, Seong Joon Oh
2025	J	`jnl`	DISCO: Diversifying Sample Condensation for Efficient Model Evaluation. CoRR Alexander Rubinstein, Benjamin Raible, Martin Gubri, Seong Joon Oh
2025	A*	`conf`	Decoupled Finetuning for Domain Generalizable Semantic Segmentation. ICLR Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak
2025	J	`jnl`	DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation. CoRR Sohyun Lee, Nayeong Kim, Juwon Kang, Seong Joon Oh, Suha Kwak
2025	J	`jnl`	Diffusion Classifiers Understand Compositionality, but Conditions Apply. CoRR Yujin Jeong, Arnas Uselis, Seong Joon Oh, Anna Rohrbach
2025	A*	`conf`	Do Deep Neural Network Solutions Form a Star Domain? ICLR Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
2025	A*	`conf`	Does Data Scaling Lead to Visual Compositional Generalization? ICML Arnas Uselis, Andrea Dittadi, Seong Joon Oh
2025	J	`jnl`	Does Data Scaling Lead to Visual Compositional Generalization? CoRR Arnas Uselis, Andrea Dittadi, Seong Joon Oh
2025	J	`jnl`	Dr.LLM: Dynamic Layer Routing in LLMs. CoRR Ahmed Heakl, Martin Gubri, Salman Khan, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	First Hallucination Tokens Are Different from Conditional Ones. CoRR Jakob Snel, Seong Joon Oh
2025	J	`jnl`	GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning. CoRR Nayeong Kim, Seong Joon Oh, Suha Kwak
2025	A*	`conf`	Intermediate Layer Classifiers for OOD generalization. ICLR Arnas Uselis, Seong Joon Oh
2025	J	`jnl`	Intermediate Layer Classifiers for OOD generalization. CoRR Arnas Uselis, Seong Joon Oh
2025	A*	`conf`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. EMNLP Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers. CoRR Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	On the rankability of visual embeddings. CoRR Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
2025	—	`conf`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. NAACL (Findings) Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2025	J	`jnl`	Small object matters in weakly supervised object localization. Neurocomputing Dongjun Hwang, Seong Joon Oh, Junsuk Choe
2025	J	`jnl`	Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity. CoRR Philipp Davydov, Ameya Prabhu, Matthias Bethge, Elisa Nguyen, Seong Joon Oh
2025	J	`jnl`	What Defines Good Reasoning in LLMs? Dissecting Reasoning Steps with Multi-Aspect Evaluation. CoRR Heejin Do, Jaehui Hwang, Dongyoon Han, Seong Joon Oh, Sangdoo Yun
2024	A*	`conf`	Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. NeurIPS Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
2024	J	`jnl`	Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. CoRR Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
2024	—	`conf`	Calibrating Large Language Models Using Their Generations Only. ACL (1) Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Calibrating Large Language Models Using Their Generations Only. CoRR Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Do Deep Neural Network Solutions Form a Star Domain? CoRR Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
2024	J	`jnl`	Overcoming Domain Limitations in Open-vocabulary Segmentation. CoRR Dongjun Hwang, Seong Joon Oh, Junsuk Choe
2024	J	`jnl`	Pretrained Visual Uncertainties. CoRR Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci
2024	J	`jnl`	Scalable Ensemble Diversification for OOD Generalization and Detection. CoRR Alexander Rubinstein, Luca Scimeca, Damien Teney, Seong Joon Oh
2024	J	`jnl`	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. CoRR Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts. CoRR Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh
2024	—	`conf`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
2024	J	`jnl`	Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI. CoRR Elisa Nguyen, Johannes Bertram, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
2023	A*	`conf`	A Bayesian Approach To Analysing Training Data Attribution In Deep Learning. NeurIPS Elisa Nguyen, Minjoon Seo, Seong Joon Oh
2023	J	`jnl`	A Bayesian Perspective On Training Data Attribution. CoRR Elisa Nguyen, Minjoon Seo, Seong Joon Oh
2023	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
2023	J	`jnl`	Exploring Practitioner Perspectives On Training Data Attribution Explanations. CoRR Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
2023	A*	`conf`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2023	A*	`conf`	Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Playing repeated games with Large Language Models. CoRR Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
2023	A*	`conf`	ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	J	`jnl`	ProPILE: Probing Privacy Leakage in Large Language Models. CoRR Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	A*	`conf`	Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. ICML Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
2023	J	`jnl`	Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. CoRR Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
2023	A*	`conf`	Scratching Visual Transformer's Back with Uniform Attention. ICCV Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
2023	J	`jnl`	Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. CoRR Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Armand Mihai Nicolicioiu, Yoshua Bengio
2023	J	`jnl`	Trustworthy Machine Learning. CoRR Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh
2023	A*	`conf`	URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. NeurIPS Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
2023	J	`jnl`	URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. CoRR Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
2022	A*	`conf`	ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification. AAAI Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han
2022	A*	`conf`	Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	J	`jnl`	Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	—	`conf`	ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. ECCV (8) Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
2022	J	`jnl`	ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. CoRR Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
2022	J	`jnl`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2022	J	`jnl`	Scratching Visual Transformer's Back with Uniform Attention. CoRR Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
2022	A*	`conf`	SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	J	`jnl`	SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	A*	`conf`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	J	`jnl`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	A*	`conf`	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2021	J	`jnl`	ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification. CoRR Hazel Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han
2021	A*	`conf`	AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
2021	A*	`conf`	Keep CALM and Improve Visual Feature Attribution. ICCV Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	J	`jnl`	Keep CALM and Improve Visual Feature Attribution. CoRR Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	A*	`conf`	Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	J	`jnl`	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	A*	`conf`	Probabilistic Embeddings for Cross-Modal Retrieval. CVPR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
2021	J	`jnl`	Probabilistic Embeddings for Cross-Modal Retrieval. CoRR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
2021	A*	`conf`	Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
2021	A*	`conf`	Rethinking Spatial Dimensions of Vision Transformers. ICCV Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2021	J	`jnl`	Rethinking Spatial Dimensions of Vision Transformers. CoRR Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2021	J	`jnl`	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2020	J	`jnl`	An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
2020	A*	`conf`	Evaluating Weakly Supervised Object Localization Methods Right. CVPR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluating Weakly Supervised Object Localization Methods Right. CoRR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	A*	`conf`	Learning De-biased Representations with Biased Representations. ICML Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2020	—	`conf`	On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CVPR Workshops Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee
2020	J	`jnl`	Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2020	A*	`conf`	Reliable Fidelity and Diversity Metrics for Generative Models. ICML Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
2020	J	`jnl`	Reliable Fidelity and Diversity Metrics for Generative Models. CoRR Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
2020	J	`jnl`	Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha
2020	J	`jnl`	VideoMix: Rethinking Data Augmentation for Video Classification. CoRR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim
2019	A*	`conf`	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
2019	J	`jnl`	CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
2019	J	`jnl`	Learning De-biased Representations with Biased Representations. CoRR Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2019	—	`conf`	Modeling Uncertainty with Hedged Instance Embeddings. ICLR (Poster) Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
2019	J	`jnl`	On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. CoRR Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee
2019	—	`ch.`	Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI Seong Joon Oh, Bernt Schiele, Mario Fritz
2019	A*	`conf`	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
2019	J	`jnl`	What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee
2018	—	`—`	Image manipulation against learned models: privacy and security implications. Seong Joon Oh
2018	J	`jnl`	Modeling Uncertainty with Hedged Instance Embedding. CoRR Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
2018	A*	`conf`	Natural and Effective Obfuscation by Head Inpainting. CVPR Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Sequential Attacks on Agents for Long-Term Adversarial Goals. CoRR Edgar Tretschk, Seong Joon Oh, Mario Fritz
2018	—	`conf`	Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Understanding and Controlling User Linkability in Decentralized Learning. CoRR Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective. CoRR Seong Joon Oh, Mario Fritz, Bernt Schiele
2017	A*	`conf`	Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. ICCV Seong Joon Oh, Mario Fritz, Bernt Schiele
2017	A*	`conf`	Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Exploiting saliency for object segmentation from image level labels. CoRR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Generating Descriptions with Grounded and Co-Referenced People. CoRR Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
2017	A*	`conf`	Generating Descriptions with Grounded and Co-referenced People. CVPR Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
2017	J	`jnl`	Natural and Effective Obfuscation by Head Inpainting. CoRR Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Person Recognition in Social Media Photos. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Whitening Black-Box Neural Networks. CoRR Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz
2016	—	`conf`	Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys (Companion Volume) Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu
2016	—	`conf`	Faceless Person Recognition: Privacy Implications in Social Media. ECCV (3) Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2016	J	`jnl`	Faceless Person Recognition; Privacy Implications in Social Media. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2016	A	`conf`	I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu
2015	A*	`conf`	Person Recognition in Personal Photo Collections. ICCV Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2015	J	`jnl`	Person Recognition in Personal Photo Collections. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele