Struck: Structured output tracking with kernels S Hare, A Saffari, PHS Torr Proceedings of the IEEE International Conference on Computer Vision, 2011 | 3430* | 2011 |
The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2243 | 2015 |
On-line random forests A Saffari, C Leistner, J Santner, M Godec, H Bischof 2009 ieee 12th international conference on computer vision workshops, iccv …, 2009 | 724 | 2009 |
PROST: Parallel robust online simple tracking J Santner, C Leistner, A Saffari, T Pock, H Bischof 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 505 | 2010 |
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases MA Myszczynska, PN Ojamies, AMB Lacoste, D Neil, A Saffari, R Mead, ... Nature Reviews Neurology 16 (8), 440-456, 2020 | 499 | 2020 |
Model Selection: Beyond the Bayesian/Frequentist Divide. I Guyon, A Saffari, G Dror, G Cawley Journal of Machine Learning Research 11 (1), 2010 | 230 | 2010 |
MIForests: Multiple-instance learning with randomized trees C Leistner, A Saffari, H Bischof Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 209 | 2010 |
Semi-supervised random forests C Leistner, A Saffari, J Santner, H Bischof 2009 IEEE 12th International Conference on Computer Vision, 506-513, 2009 | 189 | 2009 |
Efficient online structured output learning for keypoint-based object tracking S Hare, A Saffari, PHS Torr 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1894-1901, 2012 | 176 | 2012 |
On-line semi-supervised multiple-instance boosting B Zeisl, C Leistner, A Saffari, H Bischof 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 142 | 2010 |
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering J Baek, AF Aji, A Saffari arXiv preprint arXiv:2306.04136, 2023 | 134 | 2023 |
On robustness of on-line boosting-a competitive study C Leistner, A Saffari, PM Roth, H Bischof 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 123 | 2009 |
Online multi-class LPBoost A Saffari, M Godec, T Pock, C Leistner, H Bischof 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 118 | 2010 |
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity H Harkous, I Groves, A Saffari arXiv preprint arXiv:2004.06577, 2020 | 96 | 2020 |
Performance prediction challenge I Guyon, A Saffari, G Dror, JM Buhmann The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 92 | 2006 |
Alternating decision forests S Schulter, P Wohlhart, C Leistner, A Saffari, PM Roth, H Bischof Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 83 | 2013 |
What do Models Learn from Question Answering Datasets? P Sen, A Saffari arXiv preprint arXiv:2004.03490, 2020 | 79 | 2020 |
Defactor: Differentiable edge factorization-based probabilistic graph generation R Assouel, M Ahmed, MH Segler, A Saffari, Y Bengio arXiv preprint arXiv:1811.09766, 2018 | 68 | 2018 |
Interactive Texture Segmentation using Random Forests and Total Variation. J Santner, M Unger, T Pock, C Leistner, A Saffari, H Bischof BMVC, 1-12, 2009 | 60 | 2009 |
On-line random naive bayes for tracking M Godec, C Leistner, A Saffari, H Bischof 2010 20th International Conference on Pattern Recognition, 3545-3548, 2010 | 55 | 2010 |