| Weakly supervised object localization with multi-fold multiple instance learning RG Cinbis, J Verbeek, C Schmid IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 288 | 2016 |
| Multi-fold mil training for weakly supervised object localization R Gokberk Cinbis, J Verbeek, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 199 | 2014 |
| Unsupervised metric learning for face identification in TV video RG Cinbis, J Verbeek, C Schmid 2011 International Conference on Computer Vision, 1559-1566, 2011 | 181 | 2011 |
| Learning actions from the web N Ikizler-Cinbis, RG Cinbis, S Sclaroff 2009 IEEE 12th International Conference on Computer Vision, 995-1002, 2009 | 159 | 2009 |
| Segmentation driven object detection with fisher vectors R Gokberk Cinbis, J Verbeek, C Schmid Proceedings of the IEEE International Conference on Computer Vision, 2968-2975, 2013 | 133 | 2013 |
| Recognizing actions from still images N Ikizler, RG Cinbis, S Pehlivan, P Duygulu 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 109 | 2008 |
| Human action recognition with line and flow histograms N Ikizler, RG Cinbis, P Duygulu 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 82 | 2008 |
| Image categorization using Fisher kernels of non-iid image models RG Cinbis, J Verbeek, C Schmid 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2184-2191, 2012 | 74 | 2012 |
| Fire detection in infrared video using wavelet analysis BU Töreyin, RG Cinbis, Y Dedeoglu, AE Cetin Optical Engineering 46 (6), 067204, 2007 | 63 | 2007 |
| Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning B Demirel, RG Cinbis, N Ikizler-Cinbis IEEE International Conference on Computer Vision (ICCV), 2017 | 41 | 2017 |
| Contextual object detection using set-based classification RG Cinbis, S Sclaroff European Conference on Computer Vision, 43-57, 2012 | 41 | 2012 |
| Fine-grained object recognition and zero-shot learning in remote sensing imagery G Sumbul, RG Cinbis, S Aksoy IEEE Transactions on Geoscience and Remote Sensing 56 (2), 770-779, 2017 | 33 | 2017 |
| Zero-shot object detection by hybrid region embedding B Demirel, RG Cinbis, N Ikizler-Cinbis British Machine Vision Conference, 2018 | 32 | 2018 |
| Image mining using directional spatial constraints S Aksoy, RG Cinbis IEEE Geoscience and Remote Sensing Letters 7 (1), 33-37, 2009 | 28 | 2009 |
| Gradient matching generative networks for zero-shot learning MB Sariyildiz, RG Cinbis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 24 | 2019 |
| Approximate Fisher Kernels of non-iid Image Models for Image Categorization RG Cinbis, J Verbeek, C Schmid IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 | 24 | 2015 |
| Cross-task weakly supervised learning from instructional videos D Zhukov, JB Alayrac, RG Cinbis, D Fouhey, I Laptev, J Sivic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 19 | 2019 |
| Relative position-based spatial relationships using mathematical morphology RG Cinbis, S Aksoy 2007 IEEE International Conference on Image Processing 2, II-97-II-100, 2007 | 12 | 2007 |
| Automatic mapping of linearwoody vegetation features in agricultural landscapes S Aksoy, G Akcay, G Cinbis, T Wassenaar IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 9 | 2008 |
| Multisource region attention network for fine-grained object recognition in remote sensing imagery G Sumbul, RG Cinbis, S Aksoy IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4929-4937, 2019 | 7 | 2019 |
Cordelia SchmidResearch director INRIA Verified email at inria.fr
