BIER-Boosting Independent Embeddings Robustly M Opitz, G Waltner, H Possegger, H Bischof International Conference on Computer Vision (ICCV), 2017 | 295 | 2017 |
Grid loss: Detecting occluded faces M Opitz, G Waltner, G Poier, H Possegger, H Bischof European conference on computer vision, 386-402, 2016 | 93 | 2016 |
End-to-end text recognition using local ternary patterns, MSER and deep convolutional nets M Opitz, M Diem, S Fiel, F Kleber, R Sablatnig Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on …, 2014 | 43 | 2014 |
Efficient Model Averaging for Deep Neural Networks M Opitz, H Possegger, B Horst Asian Conference on Computer Vision, 205-220, 2016 | 27 | 2016 |
HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval G Waltner, M Opitz, H Possegger, H Bischof IEEE Winter Conference on Applications of Computer Vision (WACV), 599-608, 2019 | 7 | 2019 |
BaCoN: building a classifier from only n samples G Waltner, M Opitz, H Bischof Proc. CVWW, 2016 | 3 | 2016 |
Image Retrieval with BIER: Boosting Independent Embeddings Robustly M Opitz, G Waltner, H Possegger, H Bischof AAPR, 2018 | | 2018 |
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M Opitz, Waltner, H Georg, Possegger, B Horst Transactions on Pattern Analysis and Machine Intelligence, 2018 | | 2018 |
Supplementary Material Grid Loss: Detecting Occluded Faces M Opitz, G Waltner, G Poier, H Possegger, H Bischof | | |