Oh, Seong Joon

44 publications

ICLRW 2025 Are We Done with Object-Centric Learning? Alexander Rubinstein, Ameya Prabhu, Matthias Bethge, Seong Joon Oh
ICLRW 2025 Beyond Decodability: Linear Feature Spaces Enable Visual Compositional Generalization Arnas Uselis, Andrea Dittadi, Seong Joon Oh
NeurIPS 2025 C-SEO Bench: Does Conversational SEO Work? Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
ICLR 2025 Decoupled Finetuning for Domain Generalizable Semantic Segmentation Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak
NeurIPS 2025 Diffusion Classifiers Understand Compositionality, but Conditions Apply Yujin Jeong, Arnas Uselis, Seong Joon Oh, Anna Rohrbach
ICLR 2025 Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
ICML 2025 Does Data Scaling Lead to Visual Compositional Generalization? Arnas Uselis, Andrea Dittadi, Seong Joon Oh
ICLR 2025 Intermediate Layer Classifiers for OOD Generalization Arnas Uselis, Seong Joon Oh
ICLRW 2025 Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Yoshua Bengio
NeurIPS 2025 OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation Dongjun Hwang, Yejin Kim, Minyoung Lee, Seong Joon Oh, Junsuk Choe
NeurIPS 2025 On the Rankability of Visual Embeddings Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
NeurIPS 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
ICMLW 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
NeurIPS 2023 A Bayesian Approach to Analysing Training Data Attribution in Deep Learning Elisa Nguyen, Minjoon Seo, Seong Joon Oh
NeurIPSW 2023 Exploring Practitioner Perspectives on Training Data Attribution Explanations Elisa Nguyen, Evgenii Kortukov, Jean Song, Seong Joon Oh
NeurIPS 2023 ID and OOD Performance Are Sometimes Inversely Correlated on Real-World Datasets Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ICCV 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
NeurIPS 2023 ProPILE: Probing Privacy Leakage in Large Language Models Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ICML 2023 Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
ICCV 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
NeurIPS 2023 URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Dr. Enkelejda Kasneci
AAAI 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
ICML 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
ECCV 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
NeurIPS 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
ICMLW 2022 SelecMix: Debiased Learning by Mixing up Contradicting Pairs Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
CVPR 2022 Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
ICLR 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
ICLR 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
ICCV 2021 Keep CALM and Improve Visual Feature Attribution Jae Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
NeurIPS 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
CVPR 2021 Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
CVPR 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
ICCV 2021 Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
ICML 2020 Learning De-Biased Representations with Biased Representations Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
CVPRW 2020 On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee
ICML 2020 Reliable Fidelity and Diversity Metrics for Generative Models Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
ICLR 2019 Modeling Uncertainty with Hedged Instance Embeddings Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
ICLR 2018 Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele
ICCV 2017 Adversarial Image Perturbation for Privacy Protection -- a Game Theory Perspective Seong Joon Oh, Mario Fritz, Bernt Schiele
CVPR 2017 Exploiting Saliency for Object Segmentation from Image Level Labels Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
CVPR 2017 Generating Descriptions with Grounded and Co-Referenced People Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
ECCV 2016 Faceless Person Recognition: Privacy Implications in Social Media Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
ICCV 2015 Person Recognition in Personal Photo Collections Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele