Çaglar Aytekin

39 papers B 9C 2Misc 1Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
LEURN: Learning Explainable Univariate Rules with Neural Networks.
CoRR
Çaglar Aytekin
2022 J jnl
Neural Networks are Decision Trees.
CoRR
Çaglar Aytekin
2021 C conf
A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality.
MMSP
Çaglar Aytekin, Sakari Alenius, Dmytro Paliy, Juuso Gren
2021 J jnl
A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality.
CoRR
Çaglar Aytekin, Sakari Alenius, Dmytro Paliy, Juuso Gren
2019 — conf
A Compression Objective and a Cycle Loss for Neural Image Compression.
CVPR Workshops
Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2019 J jnl
A Compression Objective and a Cycle Loss for Neural Image Compression.
CoRR
Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2019 B conf
Approximating Binarization in Neural Networks.
IJCNN
Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2019 J jnl
Compressibility Loss for Neural Network Weights.
CoRR
Çaglar Aytekin, Francesco Cricri, Emre Aksu
2019 — conf
Compressing Weight-updates for Image Artifacts Removal Neural Networks.
CVPR Workshops
Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2019 J jnl
Compressing Weight-updates for Image Artifacts Removal Neural Networks.
CoRR
Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2018 J jnl
A Data Set for Camera-Independent Color Constancy.
IEEE Trans. Image Process.
Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj
2018 J jnl
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure.
CoRR
Çaglar Aytekin, Francesco Cricri, Lixin Fan, Emre Aksu
2018 — conf
Block-optimized Variable Bit Rate Neural Image Compression.
CVPR Workshops
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2018 J jnl
Block-optimized Variable Bit Rate Neural Image Compression.
CoRR
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela
2018 J jnl
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations.
CoRR
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu
2018 B conf
Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations.
IJCNN
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu
2018 Misc conf
Low-Energy Graph Fourier Basis Functions Span Salient Objects.
ICASSP
Junaid Malik, Çaglar Aytekin, Moncef Gabbouj
2018 C conf
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels.
MMSP
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
2018 J jnl
Probabilistic saliency estimation.
Pattern Recognit.
Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj
2018 — conf
Saliency Enhanced Robust Visual Tracking.
EUVIP
Çaglar Aytekin, Francesco Cricri, Emre Aksu
2018 J jnl
Saliency-Enhanced Robust Visual Tracking.
CoRR
Çaglar Aytekin, Francesco Cricri, Emre Aksu
2018 J jnl
Spatiotemporal Saliency Estimation by Spectral Foreground Detection.
IEEE Trans. Multim.
Çaglar Aytekin, Horst Possegger, Thomas Mauthner, Serkan Kiranyaz, Horst Bischof, Moncef Gabbouj
2017 B conf
Category independent object proposals using quantum superposition.
ICIP
Junaid Malik, Çaglar Aytekin, Moncef Gabbouj
2017 B conf
Deep multi-resolution color constancy.
ICIP
Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj
2017 J jnl
Extended quantum cuts for unsupervised salient object extraction.
Multim. Tools Appl.
Çaglar Aytekin, Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj
2017 J jnl
INTEL-TUT Dataset for Camera Invariant Color Constancy Research.
CoRR
Çaglar Aytekin, Jarno Nikkanen, Moncef Gabbouj
2017 J jnl
Learning graph affinities for spectral graph-based salient object detection.
Pattern Recognit.
Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2017 J jnl
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels.
CoRR
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
2016 J jnl
Learning to rank salient segments extracted by multispectral Quantum Cuts.
Pattern Recognit. Lett.
Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj
2016 J jnl
Probabilistic Saliency Estimation.
CoRR
Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj
2016 — —
Quantum Cuts: A Quantum Mechanical Spectral Graph Partitioning Method for Salient Object Detection.
Çaglar Aytekin
2016 B conf
Salient object segmentation based on linearly combined affinity graphs.
ICPR
Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2015 J jnl
Railway Fastener Inspection by Real-Time Machine Vision.
IEEE Trans. Syst. Man Cybern. Syst.
Çaglar Aytekin, Yousef Rezaeitabar, Sedat Dogru, Ilkay Ulusoy
2015 B conf
Visual saliency by extended quantum cuts.
ICIP
Çaglar Aytekin, Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj
2014 B conf
Automatic Object Segmentation by Quantum Cuts.
ICPR
Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj
2014 — conf
Fast Semi-automatic Target Initialization based on Visual Saliency for Airborne Thermal Imagery.
VISAPP (3)
Çaglar Aytekin, Emre Tunali, Sinan Öz
2013 — conf
Automatic object extraction based on quantum mechanics.
SIU
Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj
2013 B conf
Quantum mechanics in computer vision: Automatic object extraction.
ICIP
Çaglar Aytekin, Serkan Kiranyaz, Moncef Gabbouj
2010 B conf
A novel shadow restoration algorithm based on atmospheric effects for aerial images.
ICIP
Çaglar Aytekin, A. Aydin Alatan