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Oh, Seong Joon

  1. CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
    2019/05/13 by Sangdoo Yun, Dongyoon Han, Yun, Sangdoo +9 · 185 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  2. Reliable Fidelity and Diversity Metrics for Generative Models
    2020/02/23 by Muhammad Ferjad Naeem, Seong Joon Oh, Naeem, Muhammad Ferjad +7 · 46 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Visual Attention and Saliency Detection
  3. Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
    2024/02/29 by Bálint Mucsányi, Mucsányi, Bálint, Michael Kirchhof +3 · 3 voices · 18 citations
    #cs.LG #stat.ML
  4. Probabilistic Embeddings for Cross-Modal Retrieval
    2021/01/13 by Sanghyuk Chun, Chun, Sanghyuk, Seong Joon Oh +7 · 18 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  5. ProPILE: Probing Privacy Leakage in Large Language Models
    2023/07/04 by Siwon Kim, Kim, Siwon, Sangdoo Yun +9 · 25 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Topic Modeling
  6. Rethinking Spatial Dimensions of Vision Transformers
    2021/03/30 by Heo, Byeongho, Yun, Sangdoo, Han, Dongyoon +3 · 16 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. Dataset Condensation via Efficient Synthetic-Data Parameterization
    2022/05/30 by Jang-Hyun Kim, Jinuk Kim, Kim, Jang-Hyun +13 · 18 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Speech Recognition and Synthesis
  8. Learning De-biased Representations with Biased Representations
    2019/10/07 by Bahng, Hyojin, Chun, Sanghyuk, Yun, Sangdoo +2 · 13 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
    2019/04/03 by Jeonghun Baek, Baek, Jeonghun, Geewook Kim +13 · 11 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Natural Language Processing Techniques
  10. Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
    2025/06/18 by Tommaso Green, Martin Gubri, Green, Tommaso +7 · 1 voice · 9 citations
    #cs.CL #cs.AI #cs.CR
  11. TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
    2024/02/20 by Gubri, Martin, Ulmer, Dennis, Lee, Hwaran +2 · 14 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Calibrating Large Language Models Using Their Generations Only
    2024/03/09 by Dennis Ulmer, Martin Gubri, Ulmer, Dennis +7 · 14 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  13. ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
    2022/09/01 by Damien Teney, Teney, Damien, Seung‐June Oh +4 · 8 citations
    Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
  14. SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
    2025/05/26 by Michael Kirchhof, Kirchhof, Michael, Luca Füger +11 · 2 voices · 8 citations
    Social Sciences · #Artificial Intelligence in Law #Academic integrity and plagiarism #Wikis in Education and Collaboration
  15. Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
    2021/01/13 by Sangdoo Yun, Yun, Sangdoo, Seong Joon Oh +9 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification
  16. Modeling Uncertainty with Hedged Instance Embedding
    2018/09/30 by Seong Joon Oh, Oh, Seong Joon, Kevin Murphy +9 · 4 citations
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Faceless Person Recognition; Privacy Implications in Social Media
    2016/07/28 by Seong Joon Oh, Oh, Seong Joon, Rodrigo Benenson +5 · 5 citations
    Computer Science · Social Sciences · #Advanced Steganography and Watermarking Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Law in Society and Culture
  18. Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
    2024/10/31 by Haritz Puerto, Puerto, Haritz, Martin Gubri +6 · 2 voices · 8 citations
    Computer Science · #Topic Modeling #cs.AI #cs.CL #cs.LG
  19. Scratching Visual Transformer's Back with Uniform Attention
    2022/10/16 by Hyeon-Woo, Nam, Yu-Ji, Kim, Heo, Byeongho +3 · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
    2021/10/06 by Scimeca, Luca, Oh, Seong Joon, Chun, Sanghyuk +2 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
    2022/03/08 by Jungbeom Lee, Lee, Jungbeom, Seung‐June Oh +9 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  22. On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
    2019/10/10 by Lee, Junyeop, Park, Sungrae, Baek, Jeonghun +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  23. VideoMix: Rethinking Data Augmentation for Video Classification
    2020/12/07 by Yun, Sangdoo, Oh, Seong Joon, Heo, Byeongho +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  24. Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
    2023/02/06 by Michael Kirchhof, Kirchhof, Michael, Enkelejda Kasneci +3 · 4 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  25. SelecMix: Debiased Learning by Contradicting-pair Sampling
    2022/11/04 by Inwoo Hwang, Hwang, Inwoo, Sang-Jun Lee +11 · 5 citations
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning and Data Classification
  26. Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
    2021/06/08 by Poli, Michael, Massaroli, Stefano, Scimeca, Luca +6 · 3 citations
    #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Systems and Control (eess.SY) #electronic engineering #information engineering
  27. Evaluating Weakly Supervised Object Localization Methods Right
    2020/01/21 by Junsuk Choe, Choe, Junsuk, Seong Joon Oh +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  28. Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents
    2024/04/24 by Evgenii Kortukov, Kortukov, Evgenii, Alexander Rubinstein +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  29. CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
    2025/02/05 by Koishigarina, Darina, Uselis, Arnas, Oh, Seong Joon · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Person Recognition in Personal Photo Collections
    2015/09/11 by Seung‐June Oh, Seong Joon Oh, Rodrigo Benenson +6 · 1 voice
    Computer Science · #Face recognition and analysis #Human Pose and Action Recognition #Video Surveillance and Tracking Methods #cs.CV
  31. Adversarial Image Perturbation for Privacy Protection -- A Game Theory\n Perspective
    2017/03/28 by Seong Joon Oh, Oh, Seong Joon, Mario Fritz +4 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Chaos-based Image/Signal Encryption #Computer Science and Game Theory (cs.GT) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Wireless Communication Security Techniques
  32. Natural and Effective Obfuscation by Head Inpainting
    2017/11/24 by Sun, Qianru, Ma, Liqian, Oh, Seong Joon +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  33. Sequential Attacks on Agents for Long-Term Adversarial Goals
    2018/05/31 by Tretschk, Edgar, Oh, Seong Joon, Fritz, Mario · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  34. Intermediate Layer Classifiers for OOD generalization
    2025/04/07 by Uselis, Arnas, Oh, Seong Joon · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  35. Keep CALM and Improve Visual Feature Attribution
    2021/06/15 by Kim, Jae Myung, Choe, Junsuk, Akata, Zeynep +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  36. ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
    2022/04/07 by Chun, Sanghyuk, Kim, Wonjae, Park, Song +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  37. URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
    2023/07/07 by Michael Kirchhof, Kirchhof, Michael, Bálint Mucsányi +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  38. Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles
    2023/11/23 by Scimeca, Luca, Rubinstein, Alexander, Teney, Damien +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Does Data Scaling Lead to Visual Compositional Generalization?
    2025/07/09 by Uselis, Arnas, Dittadi, Andrea, Oh, Seong Joon · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. Scalable Ensemble Diversification for OOD Generalization and Detection
    2024/09/25 by Alexander Rubinstein, Rubinstein, Alexander, Luca Scimeca +5 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG