| Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013 | 2209 | 2013 |
| Bsif: Binarized statistical image features J Kannala, E Rahtu Proceedings of the 21st international conference on pattern recognition …, 2012 | 821 | 2012 |
| Segmenting salient objects from images and videos E Rahtu, J Kannala, M Salo, J Heikkilä Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 677 | 2010 |
| 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), 1727, 2018 | 551 | 2018 |
| 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 | 440 | 2008 |
| Siamese network features for image matching I Melekhov, J Kannala, E Rahtu 2016 23rd international conference on pattern recognition (ICPR), 378-383, 2016 | 415 | 2016 |
| Fast and efficient saliency detection using sparse sampling and kernel density estimation H Rezazadegan Tavakoli, E Rahtu, J Heikkilä Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011 | 245 | 2011 |
| Image-based localization using hourglass networks I Melekhov, J Ylioinas, J Kannala, E Rahtu Proceedings of the IEEE international conference on computer vision …, 2017 | 243 | 2017 |
| Relative camera pose estimation using convolutional neural networks I Melekhov, J Ylioinas, J Kannala, E Rahtu Advanced Concepts for Intelligent Vision Systems: 18th International …, 2017 | 236 | 2017 |
| Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011 | 220 | 2011 |
| Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data A Tiulpin, S Klein, SMA Bierma-Zeinstra, J Thevenot, E Rahtu, J Meurs, ... Scientific reports 9 (1), 20038, 2019 | 212 | 2019 |
| 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 | 205 | 2014 |
| Multi-modal dense video captioning V Iashin, E Rahtu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 199 | 2020 |
| 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, 1-11, 2012 | 193 | 2012 |
| Guiding monocular depth estimation using depth-attention volume L Huynh, P Nguyen-Ha, J Matas, E Rahtu, J Heikkilä Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 170 | 2020 |
| 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 | 169 | 2008 |
| Rethinking the evaluation of video summaries M Otani, Y Nakashima, E Rahtu, J Heikkila Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 161 | 2019 |
| Video summarization using deep semantic features M Otani, Y Nakashima, E Rahtu, J Heikkilä, N Yokoya Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 157 | 2017 |
| A better use of audio-visual cues: Dense video captioning with bi-modal transformer V Iashin, E Rahtu arXiv preprint arXiv:2005.08271, 2020 | 156 | 2020 |
| 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 | 144 | 2005 |
Juho KannalaAssociate Professor, Aalto University & University of Oulu, FinlandVerified email at aalto.fi
