| Discriminative common vectors for face recognition H Cevikalp, M Neamtu, M Wilkes, A Barkana IEEE Transactions on pattern analysis and machine intelligence 27 (1), 4-13, 2005 | 753 | 2005 |
| Face recognition based on image sets H Cevikalp, B Triggs 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 638 | 2010 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 563 | 2019 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 327 | 2020 |
| The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 119 | 2021 |
| Semi-supervised dimensionality reduction using pairwise equivalence constraints H Cevikalp, J Verbeek, F Jurie, A Klaser VISAPP'08-3rd International Conference on Computer Vision Theory and …, 2008 | 105 | 2008 |
| Discriminative common vector method with kernels H Cevikalp, M Neamtu, M Wilkes IEEE Transactions on Neural Networks 17 (6), 1550-1565, 2006 | 103 | 2006 |
| Phantom validation of coregistration of PET and CT for image‐guided radiotherapy WC Lavely, C Scarfone, H Cevikalp, R Li, DW Byrne, AJ Cmelak, ... Medical Physics 31 (5), 1083-1092, 2004 | 99 | 2004 |
| Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification. H Cevikalp, B Benligiray, ÖN Gerek, H Saribas CVPR workshops, 9-17, 2019 | 95 | 2019 |
| Non-speech environmental sound classification using SVMs with a new set of features B Uzkent, BD Barkana, H Cevikalp International Journal of Innovative Computing, Information and Control 8 (5 …, 2012 | 91 | 2012 |
| Best fitting hyperplanes for classification H Cevikalp IEEE transactions on pattern analysis and machine intelligence 39 (6), 1076-1088, 2016 | 78 | 2016 |
| Efficient object detection using cascades of nearest convex model classifiers H Cevikalp, B Triggs 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3138-3145, 2012 | 76 | 2012 |
| Face and landmark detection by using cascade of classifiers H Cevikalp, B Triggs, V Franc 2013 10th IEEE international conference and workshops on automatic face and …, 2013 | 62 | 2013 |
| Large margin classifiers based on affine hulls H Cevikalp, B Triggs, HS Yavuz, Y Küçük, M Küçük, A Barkana Neurocomputing 73 (16-18), 3160-3168, 2010 | 53 | 2010 |
| Nearest hyperdisk methods for high-dimensional classification H Cevikalp, B Triggs, R Polikar Proceedings of the 25th international conference on Machine learning, 120-127, 2008 | 52 | 2008 |
| New clustering algorithms for the support vector machine based hierarchical classification H Cevikalp Pattern Recognition Letters 31 (11), 1285-1291, 2010 | 48 | 2010 |
| Local classifier weighting by quadratic programming H Cevikalp, R Polikar IEEE Transactions on Neural Networks 19 (10), 1832-1838, 2008 | 47 | 2008 |
| Polyhedral conic classifiers for visual object detection and classification H Cevikalp, B Triggs Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 43 | 2017 |
| Recurrent neural networks for remote sensing image classification MI Lakhal, H Çevikalp, S Escalera, F Ofli IET Computer Vision 12 (7), 1040-1045, 2018 | 35 | 2018 |
| The kernel common vector method: A novel nonlinear subspace classifier for pattern recognition H Cevikalp, M Neamtu, A Barkana IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 34 | 2007 |
Bill TriggsLaboratoire Jean KuntzmannVerified email at imag.fr
