| 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 | 423 | 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 | 256 | 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 | 205 | 2011 |
| Learning actions from the web N Ikizler-Cinbis, RG Cinbis, S Sclaroff 2009 IEEE 12th International Conference on Computer Vision, 995-1002, 2009 | 169 | 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 | 155 | 2013 |
| Recognizing actions from still images N Ikizler, RG Cinbis, S Pehlivan, P Duygulu 2008 19th international conference on pattern recognition, 1-4, 2008 | 136 | 2008 |
| Gradient matching generative networks for zero-shot learning MB Sariyildiz, RG Cinbis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 114 | 2019 |
| Cross-task weakly supervised learning from instructional videos D Zhukov, JB Alayrac, RG Cinbis, D Fouhey, I Laptev, J Sivic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 96 | 2019 |
| Human action recognition with line and flow histograms N Ikizler, RG Cinbis, P Duygulu 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 88 | 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 | 84 | 2012 |
| Fire detection in infrared video using wavelet analysis BU Töreyin, RG Cinbis, Y Dedeoglu, AE Cetin Optical Engineering 46 (6), 067204, 2007 | 81 | 2007 |
| Zero-shot object detection by hybrid region embedding B Demirel, RG Cinbis, N Ikizler-Cinbis British Machine Vision Conference, 2018 | 67 | 2018 |
| 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 | 63 | 2017 |
| 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 | 60 | 2017 |
| Contextual object detection using set-based classification RG Cinbis, S Sclaroff European Conference on Computer Vision, 43-57, 2012 | 48 | 2012 |
| 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 | 31 | 2015 |
| Image mining using directional spatial constraints S Aksoy, RG Cinbis IEEE Geoscience and Remote Sensing Letters 7 (1), 33-37, 2009 | 30 | 2009 |
| 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 | 28 | 2019 |
| Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages? YC Bilge, N Ikizler-Cinbis, RG Cinbis British Machine Vision Conference, 2019 | 18 | 2019 |
| Graph convolutional networks for region of interest classification in breast histopathology B Aygüneş, S Aksoy, RG Cinbiş, K Kösemehmetoğlu, S Önder, A Üner Medical Imaging 2020: Digital Pathology 11320, 134-141, 2020 | 15 | 2020 |
Nazli Ikizler-CinbisAssociate Professor of Computer Science Hacettepe UniversityBestätigte E-Mail-Adresse bei cs.hacettepe.edu.tr
