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Ledig, Christian

  1. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
    2016/09/15 by Ledig, Christian, Theis, Lucas, Huszar, Ferenc +8 · 120 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (stat.ML)
  2. Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
    2016/11/16 by José Caballero, Caballero, Jose, Christian Ledig +11 · 12 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
  3. Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
    2016/12/28 by Kamnitsas, Konstantinos, Baumgartner, Christian, Ledig, Christian +8 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
    2017/07/10 by Aitken, Andrew, Ledig, Christian, Theis, Lucas +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
    2019/06/28 by Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo +12 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  6. Employing Weak Annotations for Medical Image Analysis Problems
    2017/08/21 by Martin Rajchl, Rajchl, Martin, Lisa M. Koch +11 · 2 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing
  7. MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
    2024/06/25 by Di Salvo, Francesco, Doerrich, Sebastian, Ledig, Christian · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  8. Generative Image Translation for Data Augmentation of Bone Lesion Pathology
    2019/02/06 by Anant Gupta, Gupta, Anant, Srivas Venkatesh +5 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Radiomics and Machine Learning in Medical Imaging
  9. Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification
    2024/02/19 by Sebastian Doerrich, Tobias Archut, Doerrich, Sebastian +5 · 1 citation
    Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  10. Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
    2024/07/03 by Doerrich, Sebastian, Di Salvo, Francesco, Ledig, Christian · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  11. An Embedding is Worth a Thousand Noisy Labels
    2024/08/26 by Di Salvo, Francesco, Doerrich, Sebastian, Rieger, Ines +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering