Esa Rahtu
Esa Rahtu
Associate Professor, Tampere University, Finland
Verified email at - Homepage
Cited by
Cited by
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
Bsif: Binarized statistical image features
J Kannala, E Rahtu
Proceedings of the 21st international conference on pattern recognition …, 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
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
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
Siamese network features for image matching
I Melekhov, J Kannala, E Rahtu
2016 23rd international conference on pattern recognition (ICPR), 378-383, 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
Learning a category independent object detection cascade
E Rahtu, J Kannala, M Blaschko
2011 international conference on Computer Vision, 1052-1059, 2011
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
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
Image-based localization using hourglass networks
I Melekhov, J Ylioinas, J Kannala, E Rahtu
Proceedings of the IEEE international conference on computer vision …, 2017
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
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
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
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
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
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
Tricos: A tri-level class-discriminative co-segmentation method for image classification
Y Chai, E Rahtu, V Lempitsky, L Van Gool, A Zisserman
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
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
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
The system can't perform the operation now. Try again later.
Articles 1–20