129 citations · 390 across the 19 of their papers we have counts for
9 papers · 1 filter
Expert Operational GANS: Towards Real-Color Underwater Image Restoration
Ozer Can Devecioglu, Serkan Kiranyaz, Mehmet Yamac +1
The wide range of deformation artifacts that arise from complex light propagation, scattering, and depth-dependent attenuation makes the underwater image restoration to remain a ch…
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection
Lei Xu, Mehmet Yamac, Mete Ahishali +1
Edge detection has attracted considerable attention thanks to its exceptional ability to enhance performance in downstream computer vision tasks. In recent years, various deep lear…
Operational Support Estimator Networks
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz +1
In this work, we propose a novel approach called Operational Support Estimator Networks (OSENs) for the support estimation task. Support Estimation (SE) is defined as finding the l…
Deformable Convolutions and LSTM-based Flexible Event Frame Fusion Network for Motion Deblurring
Dan Yang, Mehmet Yamac
Event cameras differ from conventional RGB cameras in that they produce asynchronous data sequences. While RGB cameras capture every frame at a fixed rate, event cameras only captu…
Super Neurons
Serkan Kiranyaz, Junaid Malik, Mehmet Yamac +5
Self-Organized Operational Neural Networks (Self-ONNs) have recently been proposed as new-generation neural network models with nonlinear learning units, i.e., the generative neuro…
Representation Based Regression for Object Distance Estimation
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz +1
In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional…
BM3D vs 2-Layer ONN
Junaid Malik, Serkan Kiranyaz, Mehmet Yamac +1
Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient met…
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
Junaid Malik, Serkan Kiranyaz, Mehmet Yamac +2
Real-world blind denoising poses a unique image restoration challenge due to the non-deterministic nature of the underlying noise distribution. Prevalent discriminative networks tr…
Multilinear Compressive Learning
Dat Thanh Tran, Mehmet Yamac, Aysen Degerli +2
Compressive Learning is an emerging topic that combines signal acquisition via compressive sensing and machine learning to perform inference tasks directly on a small number of mea…