3-D Audio Signal Processing An Audio-Visual System for Object-Based Audio: From Recording to Listening.............................................................. P. Coleman … M Liu, H Liu, C Chen, E Watermarking, Z Chen, L Li, H Peng, Y Liu, ... | | |
9th IEEE international workshop on visual surveillance 2009 G Duan, C Huang, H Ai, S Lao, X Zhang, W Hu, W Li, W Qu, S Maybank, ... | | |
A better use of audio-visual cues: Dense video captioning with bi-modal transformer V Iashin, E Rahtu arXiv preprint arXiv:2005.08271, 2020 | 154 | 2020 |
A database for fine-grained aircraft recognition S Maji, J Kannala, E Rahtu, M Blaschko, A Vedaldi Second Workshop on Fine-Grained Visual Categorization, CVPR, 2013 | 2 | 2013 |
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 | 139 | 2014 |
A multiscale framework for affine invariant pattern recognition and registration E Rahtu University of OULU, 2007 | 5 | 2007 |
A new affine invariant image transform based on ridgelets E Rahtu, J Heikkilä, M Salo British Machine Vision Conference, 1039-1048, 2006 | 6 | 2006 |
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 | 96 | 2006 |
A new efficient method for producing global affine invariants E Rahtu, M Salo, J Heikkilä Image Analysis and Processing–ICIAP 2005: 13th International Conference …, 2005 | 17 | 2005 |
A new method for affine registration of images and point sets J Kannala, E Rahtu, J Heikkilä, M Salo Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 25 | 2005 |
A novel method for automatic localization of joint area on knee plain radiographs A Tiulpin, J Thevenot, E Rahtu, S Saarakkala Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 55 | 2017 |
A practical overview of safety concerns and mitigation methods for visual deep learning algorithms S Bakhshi Germi, E Rahtu SafeAI 2022: Proceedings of the Workshop on Artificial Intelligence Safety …, 2022 | 3 | 2022 |
A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms SB Germi, E Rahtu SafeAI: The AAAI's Workshop on Artificial Intelligence Safety, 2022 | | 2022 |
A simple and efficient saliency detector for background subtraction E Rahtu, J Heikkilä 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 66 | 2009 |
Adaptation and attention for neural video coding N Zou, H Zhang, F Cricri, RG Youvalari, HR Tavakoli, J Lainema, E Aksu, ... 2021 IEEE International Symposium on Multimedia (ISM), 240-244, 2021 | 14 | 2021 |
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems S Särkkä, V Tolvanen, J Kannala, E Rahtu 2015 International Conference on Indoor Positioning and Indoor Navigation …, 2015 | 34 | 2015 |
ADVIO: An authentic dataset for visual-inertial odometry S Cortés, A Solin, E Rahtu, J Kannala Proceedings of the European Conference on Computer Vision (ECCV), 419-434, 2018 | 109 | 2018 |
AFFINE INVARIANT FEATURES IN PATTERN RECOGNITION E Rahtu, J Heikkilä Handbook of Pattern Recognition and Computer Vision, 235-255, 2010 | | 2010 |
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 |
Affine registration using multiscale approach E Rahtu, M Salo, J Heikkilä Proc. of the Finnish Signal Processing Symposium, FINSIG07, 2007 | | 2007 |