Aykut Koç
Cited by
Cited by
Digital computation of linear canonical transforms
A Koc, HM Ozaktas, C Candan, MA Kutay
IEEE Transactions on Signal Processing 56 (6), 2383-2394, 2008
Semantic structure and interpretability of word embeddings
LK Şenel, I Utlu, V Yücesoy, A Koc, T Cukur
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018
Efficient computation of quadratic-phase integrals in optics
HM Ozaktas, A Koç, I Sari, MA Kutay
Optics letters 31 (1), 35-37, 2006
Marvel: A large-scale image dataset for maritime vessels
E Gundogdu, B Solmaz, V Yücesoy, A Koc
Asian conference on computer vision, 165-180, 2016
Fast and accurate computation of two-dimensional non-separable quadratic-phase integrals
A Koç, HM Ozaktas, L Hesselink
JOSA A 27 (6), 1288-1302, 2010
Deep Iterative Reconstruction for Phase Retrieval
Ç Işıl, FS Oktem, A Koç
Applied optics 58 (20), 5422-5431, 2019
Evaluation of feature channels for correlation-filter-based visual object tracking in infrared spectrum
E Gundogdu, A Koc, B Solmaz, RI Hammoud, A Aydin Alatan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Sparse representation of two-and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms
A Koç, B Bartan, E Gundogdu, T Çukur, HM Ozaktas
Expert Systems with Applications 77, 247-255, 2017
Statistically segregated k-space sampling for accelerating multiple-acquisition MRI
LK Senel, T Kilic, A Gungor, E Kopanoglu, HE Guven, EU Saritas, A Koc, ...
IEEE transactions on medical imaging 38 (7), 1701-1714, 2019
Fast and accurate algorithm for the computation of complex linear canonical transforms
A Koç, HM Ozaktas, L Hesselink
JOSA A 27 (9), 1896-1908, 2010
Imparting interpretability to word embeddings while preserving semantic structure
LK Şenel, İ Utlu, F Şahinuç, HM Ozaktas, A Koç
Natural Language Engineering 27 (6), 721-746, 2021
Discrete linear canonical transform based on hyperdifferential operators
A Koç, B Bartan, HM Ozaktas
IEEE Transactions on Signal Processing 67 (9), 2237-2248, 2019
Generic and attribute-specific deep representations for maritime vessels
B Solmaz, E Gundogdu, V Yucesoy, A Koc
IPSJ Transactions on Computer Vision and Applications 9 (1), 1-18, 2017
Object classification in infrared images using deep representations
E Gundogdu, A Koc, AA Alatan
2016 IEEE International Conference on Image Processing (ICIP), 1066-1070, 2016
Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding
B Solmaz, E Gundogdu, V Yucesoy, A Koç, AA Alatan
IET Computer Vision 12 (8), 1121-1132, 2018
Measuring cross-lingual semantic similarity across European languages
LK Şenel, V Yücesoy, A Koç, T Çukur
2017 40th International Conference on Telecommunications and Signal …, 2017
Resolution enhancement of wide-field interferometric microscopy by coupled deep autoencoders
Ç Işil, M Yorulmaz, B Solmaz, AB Turhan, C Yurdakul, S Ünlü, E Ozbay, ...
Applied optics 57 (10), 2545-2552, 2018
Generating semantic similarity atlas for natural languages
LK Şenel, İ Utlu, V Yücesoy, A Koç, T Çukur
2018 IEEE Spoken Language Technology Workshop (SLT), 795-799, 2018
Deep distance metric learning for maritime vessel identification
E Gundogdu, B Solmaz, A Koç, V Yücesoy, AA Alatan
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
Fast algorithms for digital computation of linear canonical transforms
A Koç, FS Oktem, HM Ozaktas, MA Kutay
Linear Canonical Transforms, 293-327, 2016
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