| A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses J Kannala, SS Brandt IEEE transactions on pattern analysis and machine intelligence 28 (8), 1335-1340, 2006 | 641 | 2006 |
| Segmenting salient objects from images and videos E Rahtu, J Kannala, M Salo, J Heikkilä European conference on computer vision, 366-379, 2010 | 499 | 2010 |
| Joint depth and color camera calibration with distortion correction D Herrera, J Kannala, J Heikkilä IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (10), 2058 …, 2012 | 461 | 2012 |
| Bsif: Binarized statistical image features J Kannala, E Rahtu Proceedings of the 21st international conference on pattern recognition …, 2012 | 445 | 2012 |
| Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013 | 339 | 2013 |
| Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011 | 171 | 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 | 165 | 2014 |
| Accurate and practical calibration of a depth and color camera pair D Herrera, J Kannala, J Heikkilä International Conference on Computer analysis of images and patterns, 437-445, 2011 | 158 | 2011 |
| A generic camera calibration method for fish-eye lenses J Kannala, S Brandt Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 144 | 2004 |
| 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 | 94 | 2014 |
| Deep learning for magnification independent breast cancer histopathology image classification N Bayramoglu, J Kannala, J Heikkilä 2016 23rd International conference on pattern recognition (ICPR), 2440-2445, 2016 | 93 | 2016 |
| Quasi-dense wide baseline matching using match propagation J Kannala, SS Brandt 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 83 | 2007 |
| 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 | 67 | 2017 |
| Siamese network features for image matching I Melekhov, J Kannala, E Rahtu 2016 23rd International Conference on Pattern Recognition (ICPR), 378-383, 2016 | 55 | 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 | 46 | 2017 |
| Cell segmentation proposal network for microscopy image analysis SU Akram, J Kannala, L Eklund, J Heikkilä Deep Learning and Data Labeling for Medical Applications, 21-29, 2016 | 41 | 2016 |
| Interpolation consistency training for semi-supervised learning V Verma, A Lamb, J Kannala, Y Bengio, D Lopez-Paz arXiv preprint arXiv:1903.03825, 2019 | 40 | 2019 |
| Geometric camera calibration J Kannala, J Heikkilä, SS Brandt Wiley Encyclopedia of Computer Science and Engineering, 1-11, 2007 | 40 | 2007 |
| Camera relocalization by computing pairwise relative poses using convolutional neural network Z Laskar, I Melekhov, S Kalia, J Kannala Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 39 | 2017 |
| Object recognition and segmentation by non-rigid quasi-dense matching J Kannala, E Rahtu, SS Brandt, J Heikkila 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 39 | 2008 |
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluVerified email at ee.oulu.fi
