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20182022
most citedEffect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks

3 citations · 6 across the 2 of their papers we have counts for

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cs.CV20223 cited

Analysis of Visual Reasoning on One-Stage Object Detection

Tolga Aksoy, Ugur Halici

Current state-of-the-art one-stage object detectors are limited by treating each image region separately without considering possible relations of the objects. This causes dependen…

cs.CV2021

Self-training Guided Adversarial Domain Adaptation For Thermal Imagery

Ibrahim Batuhan Akkaya, Fazil Altinel, Ugur Halici

Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer…

cs.CV2020

GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation

Ibrahim Batuhan Akkaya, Ugur Halici

Image-to-image translation (IIT) has made much progress recently with the development of adversarial learning. In most of the recent work, an adversarial loss is utilized to match…

cs.CV2019

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance

Safa Alver, Ugur Halici

Visual face tracking is one of the most important tasks in video surveillance systems. However, due to the variations in pose, scale, expression, and illumination it is considered…

cs.CV2018

False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks

Gorkem Polat, Ugur Halici, Yesim Serinagaoglu Dogrusoz

Recent studies have shown that lung cancer screening using annual low-dose computed tomography (CT) reduces lung cancer mortality by 20% compared to traditional chest radiography.…