A novel shadow restoration algorithm based on atmospheric effects for aerial images. - Çaglar Aytekin; A. Aydin Alatan (ICIP, 2010)

Quantum mechanics in computer vision: Automatic object extraction. - Çaglar Aytekin; Serkan Kiranyaz; Moncef Gabbouj (ICIP, 2013)

Automatic object extraction based on quantum mechanics. - Çaglar Aytekin; Serkan Kiranyaz; Moncef Gabbouj (SIU, 2013)

Automatic Object Segmentation by Quantum Cuts. - Çaglar Aytekin; Serkan Kiranyaz; Moncef Gabbouj (ICPR, 2014)

Fast Semi-automatic Target Initialization based on Visual Saliency for Airborne Thermal Imagery. - Çaglar Aytekin; Emre Tunali; Sinan Öz (VISAPP (3), 2014)

Visual saliency by extended quantum cuts. - Çaglar Aytekin; Ezgi Can Ozan; Serkan Kiranyaz; Moncef Gabbouj (ICIP, 2015)

Railway Fastener Inspection by Real-Time Machine Vision. - Çaglar Aytekin; Yousef Rezaeitabar; Sedat Dogru; Ilkay Ulusoy (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Salient object segmentation based on linearly combined affinity graphs. - Çaglar Aytekin; Alexandros Iosifidis; Serkan Kiranyaz; Moncef Gabbouj (ICPR, 2016)

Learning to rank salient segments extracted by multispectral Quantum Cuts. - Çaglar Aytekin; Serkan Kiranyaz; Moncef Gabbouj (Pattern Recognit. Lett., 2016)

Quantum Cuts: A Quantum Mechanical Spectral Graph Partitioning Method for Salient Object Detection. - Çaglar Aytekin (2016)

Deep multi-resolution color constancy. - Çaglar Aytekin; Jarno Nikkanen; Moncef Gabbouj (ICIP, 2017)

Category independent object proposals using quantum superposition. - Junaid Malik; Çaglar Aytekin; Moncef Gabbouj (ICIP, 2017)

INTEL-TUT Dataset for Camera Invariant Color Constancy Research. - Çaglar Aytekin; Jarno Nikkanen; Moncef Gabbouj (CoRR, 2017)

Extended quantum cuts for unsupervised salient object extraction. - Çaglar Aytekin; Ezgi Can Ozan; Serkan Kiranyaz; Moncef Gabbouj (Multim. Tools Appl., 2017)

Learning graph affinities for spectral graph-based salient object detection. - Çaglar Aytekin; Alexandros Iosifidis; Serkan Kiranyaz; Moncef Gabbouj (Pattern Recognit., 2017)

Block-optimized Variable Bit Rate Neural Image Compression. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2018)

Saliency Enhanced Robust Visual Tracking. - Çaglar Aytekin; Francesco Cricri; Emre Aksu (EUVIP, 2018)

Low-Energy Graph Fourier Basis Functions Span Salient Objects. - Junaid Malik; Çaglar Aytekin; Moncef Gabbouj (ICASSP, 2018)

Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Emre Aksu (IJCNN, 2018)

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Lixin Fan; Emre Aksu (MMSP, 2018)

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure. - Çaglar Aytekin; Francesco Cricri; Lixin Fan; Emre Aksu (CoRR, 2018)

Probabilistic saliency estimation. - Çaglar Aytekin; Alexandros Iosifidis; Moncef Gabbouj (Pattern Recognit., 2018)

A Data Set for Camera-Independent Color Constancy. - Çaglar Aytekin; Jarno Nikkanen; Moncef Gabbouj (IEEE Trans. Image Process., 2018)

Spatiotemporal Saliency Estimation by Spectral Foreground Detection. - Çaglar Aytekin; Horst Possegger; Thomas Mauthner; Serkan Kiranyaz; Horst Bischof; Moncef Gabbouj (IEEE Trans. Multim., 2018)

A Compression Objective and a Cycle Loss for Neural Image Compression. - Çaglar Aytekin; Francesco Cricri; Antti Hallapuro; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2019)

Compressing Weight-updates for Image Artifacts Removal Neural Networks. - Yat Hong Lam; Alireza Zare; Çaglar Aytekin; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (CVPR Workshops, 2019)

Approximating Binarization in Neural Networks. - Çaglar Aytekin; Francesco Cricri; Jani Lainema; Emre Aksu; Miska M. Hannuksela (IJCNN, 2019)

Compressibility Loss for Neural Network Weights. - Çaglar Aytekin; Francesco Cricri; Emre Aksu (CoRR, 2019)

A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality. - Çaglar Aytekin; Sakari Alenius; Dmytro Paliy; Juuso Gren (MMSP, 2021)

Neural Networks are Decision Trees. - Çaglar Aytekin (CoRR, 2022)

LEURN: Learning Explainable Univariate Rules with Neural Networks. - Çaglar Aytekin (CoRR, 2023)