| Neural activation constellations: Unsupervised part model discovery with convolutional networks M Simon, E Rodner Proceedings of the IEEE international conference on computer vision, 1143-1151, 2015 | 484 | 2015 |
| Efficient Learning of Domain-invariant Image Representations J Hoffman, E Rodner, J Donahue, K Saenko, T Darrell International Conference on Learning Representations (ICLR 2013), 2013 | 369 | 2013 |
| Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning M Aubreville, C Knipfer, N Oetter, C Jaremenko, E Rodner, J Denzler, ... Scientific reports 7 (1), 11979, 2017 | 304 | 2017 |
| Selecting influential examples: Active learning with expected model output changes A Freytag, E Rodner, J Denzler Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 265 | 2014 |
| One-class classification with gaussian processes M Kemmler, E Rodner, J Denzler Computer Vision–ACCV 2010, 489-500, 2011 | 232 | 2011 |
| Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016 | 208 | 2016 |
| Semi-supervised domain adaptation with instance constraints J Donahue, J Hoffman, E Rodner, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 207 | 2013 |
| Kernel Null Space Methods for Novelty Detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler CVPR, 2013 | 167 | 2013 |
| Her 2 challenge contest: a detailed assessment of automated her 2 scoring algorithms in whole slide images of breast cancer tissues T Qaiser, A Mukherjee, C Reddy Pb, SD Munugoti, V Tallam, T Pitkäaho, ... Histopathology 72 (2), 227-238, 2018 | 162 | 2018 |
| Fine-tuning deep neural networks in continuous learning scenarios C Käding, E Rodner, A Freytag, J Denzler Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 156 | 2017 |
| Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding CA Brust, S Sickert, M Simon, E Rodner, J Denzler VISAPP, 2015 | 150 | 2015 |
| Nonparametric part transfer for fine-grained recognition C Goring, E Rodner, A Freytag, J Denzler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 132 | 2014 |
| Asymmetric and category invariant feature transformations for domain adaptation J Hoffman, E Rodner, J Donahue, B Kulis, K Saenko International journal of computer vision 109, 28-41, 2014 | 131 | 2014 |
| Chimpanzee faces in the wild: Log-euclidean CNNs for predicting identities and attributes of primates A Freytag, E Rodner, M Simon, A Loos, HS Kühl, J Denzler Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016 | 118 | 2016 |
| Detecting regions of maximal divergence for spatio-temporal anomaly detection B Barz, E Rodner, YG Garcia, J Denzler IEEE transactions on pattern analysis and machine intelligence 41 (5), 1088-1101, 2018 | 112 | 2018 |
| Open-vocabulary Object Retrieval. S Guadarrama, E Rodner, K Saenko, N Zhang, R Farrell, J Donahue, ... Robotics: science and systems 2 (5), 6, 2014 | 98 | 2014 |
| Bildverarbeitung und Objekterkennung H Süße, E Rodner Springer Fachmedien Wiesbaden, 2014 | 96 | 2014 |
| Every annotation counts: Multi-label deep supervision for medical image segmentation S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 92 | 2021 |
| Part detector discovery in deep convolutional neural networks M Simon, E Rodner, J Denzler Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 81 | 2015 |
| Active and continuous exploration with deep neural networks and expected model output changes C Käding, E Rodner, A Freytag, J Denzler arXiv preprint arXiv:1612.06129, 2016 | 74 | 2016 |
Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaVerified email at uni-jena.de
