Çaglar Aytekin

According to our database, Çaglar Aytekin authored at least 31 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LEURN: Learning Explainable Univariate Rules with Neural Networks.

Çaglar Aytekin

CoRR, 2023

2022

Neural Networks are Decision Trees.

Çaglar Aytekin

CoRR, 2022

2021

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

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

2019

Compressibility Loss for Neural Network Weights.

Çaglar Aytekin, Francesco Cricri, Emre Aksu

CoRR, 2019

Approximating Binarization in Neural Networks.

Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A Compression Objective and a Cycle Loss for Neural Image Compression.

Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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 Data Set for Camera-Independent Color Constancy.

Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj

IEEE Trans. Image Process., 2018

Probabilistic saliency estimation.

Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj

Pattern Recognit., 2018

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure.

Çaglar Aytekin, Francesco Cricri, Lixin Fan, Emre Aksu

CoRR, 2018

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels.

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations.

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Low-Energy Graph Fourier Basis Functions Span Salient Objects.

Junaid Malik, Çaglar Aytekin, Moncef Gabbouj

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Saliency Enhanced Robust Visual Tracking.

Çaglar Aytekin, Francesco Cricri, Emre Aksu

Proceedings of the 7th European Workshop on Visual Information Processing, 2018

Block-optimized Variable Bit Rate Neural Image Compression.

Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Learning graph affinities for spectral graph-based salient object detection.

Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj

Pattern Recognit., 2017

Extended quantum cuts for unsupervised salient object extraction.

Çaglar Aytekin, Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj

Multim. Tools Appl., 2017

INTEL-TUT Dataset for Camera Invariant Color Constancy Research.

Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj

CoRR, 2017

Category independent object proposals using quantum superposition.

Junaid Malik, Çaglar Aytekin, Moncef Gabbouj

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep multi-resolution color constancy.

Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Quantum Cuts: A Quantum Mechanical Spectral Graph Partitioning Method for Salient Object Detection.

Çaglar Aytekin

PhD thesis, 2016

Learning to rank salient segments extracted by multispectral Quantum Cuts.

Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj

Pattern Recognit. Lett., 2016

Salient object segmentation based on linearly combined affinity graphs.

Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Railway Fastener Inspection by Real-Time Machine Vision.

Çaglar Aytekin, Yousef Rezaeitabar, Sedat Dogru, Ilkay Ulusoy

IEEE Trans. Syst. Man Cybern. Syst., 2015

Visual saliency by extended quantum cuts.

Çaglar Aytekin, Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Fast Semi-automatic Target Initialization based on Visual Saliency for Airborne Thermal Imagery.

Çaglar Aytekin, Emre Tunali, Sinan Öz

Proceedings of the VISAPP 2014, 2014

Automatic Object Segmentation by Quantum Cuts.

Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Automatic object extraction based on quantum mechanics.

Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Quantum mechanics in computer vision: Automatic object extraction.

Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the IEEE International Conference on Image Processing, 2013

2010

A novel shadow restoration algorithm based on atmospheric effects for aerial images.

Çaglar Aytekin, A. Aydin Alatan

Proceedings of the International Conference on Image Processing, 2010