| Bsif: Binarized statistical image features J Kannala, E Rahtu Proceedings of the 21st international conference on pattern recognition …, 2012 | 600 | 2012 |
| Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013 | 585 | 2013 |
| Segmenting salient objects from images and videos E Rahtu, J Kannala, M Salo, J Heikkilä European conference on computer vision, 366-379, 2010 | 571 | 2010 |
| Recognition of blurred faces using local phase quantization T Ahonen, E Rahtu, V Ojansivu, J Heikkila 2008 19th international conference on pattern recognition, 1-4, 2008 | 367 | 2008 |
| Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011 | 201 | 2011 |
| Fast and efficient saliency detection using sparse sampling and kernel density estimation HR Tavakoli, E Rahtu, J Heikkilä Scandinavian conference on image analysis, 666-675, 2011 | 196 | 2011 |
| Generating object segmentation proposals using global and local search P Rantalankila, J Kannala, E Rahtu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 191 | 2014 |
| Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach A Tiulpin, J Thevenot, E Rahtu, P Lehenkari, S Saarakkala Scientific reports 8 (1), 1-10, 2018 | 173 | 2018 |
| Rotation invariant local phase quantization for blur insensitive texture analysis V Ojansivu, E Rahtu, J Heikkila 2008 19th International conference on pattern recognition, 1-4, 2008 | 140 | 2008 |
| Identification of tumor epithelium and stroma in tissue microarrays using texture analysis N Linder, J Konsti, R Turkki, E Rahtu, M Lundin, S Nordling, C Haglund, ... Diagnostic pathology 7 (1), 1-11, 2012 | 134 | 2012 |
| Affine invariant pattern recognition using multiscale autoconvolution E Rahtu, M Salo, J Heikkila IEEE Transactions on pattern analysis and machine intelligence 27 (6), 908-918, 2005 | 130 | 2005 |
| Relative camera pose estimation using convolutional neural networks I Melekhov, J Ylioinas, J Kannala, E Rahtu International Conference on Advanced Concepts for Intelligent Vision Systems …, 2017 | 124 | 2017 |
| Tricos: A tri-level class-discriminative co-segmentation method for image classification Y Chai, E Rahtu, V Lempitsky, L Van Gool, A Zisserman European conference on computer vision, 794-807, 2012 | 122 | 2012 |
| Local phase quantization for blur-insensitive image analysis E Rahtu, J Heikkilä, V Ojansivu, T Ahonen Image and Vision Computing 30 (8), 501-512, 2012 | 120 | 2012 |
| Understanding objects in detail with fine-grained attributes A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 111 | 2014 |
| Siamese network features for image matching I Melekhov, J Kannala, E Rahtu 2016 23rd International Conference on Pattern Recognition (ICPR), 378-383, 2016 | 109 | 2016 |
| Image-based localization using hourglass networks I Melekhov, J Ylioinas, J Kannala, E Rahtu Proceedings of the IEEE international conference on computer vision …, 2017 | 102 | 2017 |
| A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears N Linder, R Turkki, M Walliander, A Mårtensson, V Diwan, E Rahtu, ... PLoS One 9 (8), e104855, 2014 | 93 | 2014 |
| A new convexity measure based on a probabilistic interpretation of images E Rahtu, M Salo, J Heikkila IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9), 1501-1512, 2006 | 89 | 2006 |
| Video summarization using deep semantic features M Otani, Y Nakashima, E Rahtu, J Heikkilä, N Yokoya Asian Conference on Computer Vision, 361-377, 2016 | 79 | 2016 |
Juho KannalaAssistant Professor, Aalto University, FinlandVerified email at aalto.fi
