| Clustering and Unsupervised Anomaly Detection with l2Normalized Deep Auto-Encoder Representations C Aytekin, X Ni, F Cricri, E Aksu 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 141 | 2018 |
| Railway Fastener Inspection by Real-Time Machine Vision Ç Aytekin, Y Rezaetabar, S Doğru, İ Ulusoy Systems, Man, and Cybernetics: Systems, IEEE Transactions on, 2015 | 124 | 2015 |
| Automatic object segmentation by quantum cuts C Aytekin, S Kiranyaz, M Gabbouj 2014 22nd International Conference on Pattern Recognition, 112-117, 2014 | 58 | 2014 |
| Quantum mechanics in computer vision: Automatic object extraction Ç Aytekin, S Kiranyaz, M Gabbouj 2013 IEEE International Conference on Image Processing, 2489-2493, 2013 | 47 | 2013 |
| Visual saliency by extended quantum cuts Ç Aytekin, EC Ozan, S Kiranyaz, M Gabbouj 2015 IEEE international conference on image processing (ICIP), 1692-1696, 2015 | 36 | 2015 |
| Probabilistic saliency estimation C Aytekin, A Iosifidis, M Gabbouj Pattern Recognition 74, 359-372, 2018 | 26 | 2018 |
| Spatiotemporal saliency estimation by spectral foreground detection Ç Aytekin, H Possegger, T Mauthner, S Kiranyaz, H Bischof, M Gabbouj IEEE Transactions on Multimedia 20 (1), 82-95, 2017 | 24 | 2017 |
| A data set for camera-independent color constancy Ç Aytekin, J Nikkanen, M Gabbouj IEEE Transactions on Image Processing 27 (2), 530-544, 2017 | 21 | 2017 |
| Learning graph affinities for spectral graph-based salient object detection Ç Aytekin, A Iosifidis, S Kiranyaz, M Gabbouj Pattern Recognition 64, 159-167, 2017 | 16 | 2017 |
| Block-optimized variable bit rate neural image compression C Aytekin, X Ni, F Cricri, J Lainema, E Aksu, M Hannuksela Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 12 | 2018 |
| Compressing weight-updates for image artifacts removal neural networks YH Lam, A Zare, C Aytekin, F Cricri, J Lainema, E Aksu, M Hannuksela arXiv preprint arXiv:1905.04079, 2019 | 11 | 2019 |
| Extended quantum cuts for unsupervised salient object extraction Ç Aytekin, EC Ozan, S Kiranyaz, M Gabbouj Multimedia Tools and Applications 76, 10443-10463, 2017 | 11 | 2017 |
| INTEL-TUT dataset for camera invariant color constancy research C Aytekin, J Nikkanen, M Gabbouj arXiv preprint arXiv:1703.09778, 2017 | 11 | 2017 |
| Content-Specific Neural Network Distribution F Cricri, C Aytekin, EB Aksu, MS Tupala, NI Xingyang US Patent App. 15/948,304, 2019 | 9 | 2019 |
| Compressibility loss for neural network weights C Aytekin, F Cricri, E Aksu arXiv preprint arXiv:1905.01044, 2019 | 9 | 2019 |
| Saliency enhanced robust visual tracking C Avytekin, F Cricri, E Aksu 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-5, 2018 | 8 | 2018 |
| Fast semi-automatic target initialization based on visual saliency for airborne thermal imagery E Tunali, S Oz 2014 International Conference on Computer Vision Theory and Applications …, 2014 | 8 | 2014 |
| A Compression Objective and a Cycle Loss for Neural Image Compression. C Aytekin, F Cricri, A Hallapuro, J Lainema, E Aksu, MM Hannuksela CVPR Workshops, 0, 2019 | 7 | 2019 |
| Response to the call for proposals on neural network compression: Training highly compressible neural networks C Aytekin, F Cricri, T Wang, E Aksu ISO/IEC JTC1/SC29/WG11, m47379, 2019 | 7 | 2019 |
| Compressing weight updates for decoder-side neural networks C Aytekin, F Cricri, YH Lam US Patent App. 16/828,106, 2020 | 6 | 2020 |
Moncef GabboujProfessor, Tampere UniversityVerified email at tuni.fi
