World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4457
World Ranking
13605
National Ranking
654

Best Publications

  • Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

    Unknown

  • Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

    Marc Aubreville;Christian Knipfer;Christian Knipfer;Nicolai Oetter;Christian Jaremenko

  • Efficient Learning of Domain-invariant Image Representations

    Judy Hoffman;Erik Rodner;Jeff Donahue;Trevor Darrell

  • Selecting Influential Examples: Active Learning with Expected Model Output Changes

    Alexander Freytag;Erik Rodner;Joachim Denzler

  • One-class classification with gaussian processes

    Michael Kemmler;Erik Rodner;Joachim Denzler

  • Semi-supervised Domain Adaptation with Instance Constraints

    Jeff Donahue;Judy Hoffman;Erik Rodner;Kate Saenko

  • Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

    Talha Qaiser;Abhik Mukherjee;Chaitanya Reddy Pb;Sai Dileep Munugoti

  • ImageNet pre-trained models with batch normalization.

    Marcel Simon;Erik Rodner;Joachim Denzler

  • One-class classification with Gaussian processes

    Michael Kemmler;Erik Rodner;Esther-Sabrina Wacker;Joachim Denzler

  • Nonparametric Part Transfer for Fine-Grained Recognition

    Christoph Göering;Erik Rodner;Alexander Freytag;Joachim Denzler

  • Kernel Null Space Methods for Novelty Detection

    Paul Bodesheim;Alexander Freytag;Erik Rodner;Michael Kemmler

  • Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

    Christoph Käding;Erik Rodner;Alexander Freytag;Joachim Denzler

  • Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

    Judy Hoffman;Erik Rodner;Jeff Donahue;Brian Kulis

  • Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates

    Alexander Freytag;Erik Rodner;Marcel Simon;Alexander Loos

  • Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

    Bjorn Barz;Erik Rodner;Yanira Guanche Garcia;Joachim Denzler

  • Open-vocabulary Object Retrieval

    Sergio Guadarrama;Erik Rodner;Kate Saenko;Ning Zhang

  • Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

    Simon Reis;Constantin Seibold;Alexander Freytag;Erik Rodner

  • Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

    Unknown

  • Part Detector Discovery in Deep Convolutional Neural Networks

    Marcel Simon;Erik Rodner;Joachim Denzler

  • Proceedings of 27th British Machine Vision Conference (BMVC 2016)

    Erik Rodner;Marcelo F Simon;Bob Fisher;Joachim Denzler

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