| 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 | 178 | 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 | 155 | 2015 |
| Automatic object segmentation by quantum cuts C Aytekin, S Kiranyaz, M Gabbouj 2014 22nd International Conference on Pattern Recognition, 112-117, 2014 | 63 | 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 | 54 | 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 | 39 | 2015 |
| Neural networks are decision trees C Aytekin arXiv preprint arXiv:2210.05189, 2022 | 34 | 2022 |
| 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 | 32 | 2017 |
| Probabilistic saliency estimation C Aytekin, A Iosifidis, M Gabbouj Pattern Recognition 74, 359-372, 2018 | 27 | 2018 |
| A data set for camera-independent color constancy Ç Aytekin, J Nikkanen, M Gabbouj IEEE Transactions on Image Processing 27 (2), 530-544, 2017 | 25 | 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 | 17 | 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 | 15 | 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 | 14 | 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 | 14 | 2017 |
| INTEL-TUT dataset for camera invariant color constancy research C Aytekin, J Nikkanen, M Gabbouj arXiv preprint arXiv:1703.09778, 2017 | 14 | 2017 |
| Compressibility loss for neural network weights C Aytekin, F Cricri, E Aksu arXiv preprint arXiv:1905.01044, 2019 | 12 | 2019 |
| 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 | 10 | 2019 |
| Compressing weight updates for decoder-side neural networks C Aytekin, F Cricri, YH Lam US Patent 11,556,796, 2023 | 9 | 2023 |
| Saliency enhanced robust visual tracking C Avytekin, F Cricri, E Aksu 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-5, 2018 | 9 | 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 |
| 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 7, 2019 | 7 | 2019 |
Moncef GabboujProfessor, Tampere UniversityVerified email at tuni.fi
