16 citations · 19 across the 7 of their papers we have counts for
13 papers
Imperceptible Adversarial Examples by Spatial Chroma-Shift
Ayberk Aydin, Deniz Sen, Berat Tuna Karli +2
Deep Neural Networks have been shown to be vulnerable to various kinds of adversarial perturbations. In addition to widely studied additive noise based perturbations, adversarial e…
Generative Data Augmentation for Vehicle Detection in Aerial Images
Hilmi Kumdakcı, Cihan Öngün, Alptekin Temizel
Scarcity of training data is one of the prominent problems for deep networks which require large amounts data. Data augmentation is a widely used method to increase the number of t…
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34
The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
Cihan Öngün, Alptekin Temizel
In this paper, we focus on latent modification and generation of 3D point cloud object models with respect to their semantic parts. Different to the existing methods which use sepa…
Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU
Mete Can Kaya, Alperen İnci, Alptekin Temizel
Binary convolutional networks have lower computational load and lower memory foot-print compared to their full-precision counterparts. So, they are a feasible alternative for the d…
Performance Analysis of Noise Subspace-based Narrowband Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU
Hamza Eray, Alptekin Temizel
High-performance computing of array signal processing problems is a critical task as real-time system performance is required for many applications. Noise subspace-based Direction-…