Search Results for author: Ugur Demir

Found 7 papers, 1 papers with code

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

no code implementations7 Apr 2021 Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

We provide an innovative visual explanation algorithm for general purpose and as an example application, we demonstrate its effectiveness for quantifying lesions in the lungs caused by the Covid-19 with high accuracy and robustness without using dense segmentation labels.

TinyVIRAT: Low-resolution Video Action Recognition

1 code implementation14 Jul 2020 Ugur Demir, Yogesh S Rawat, Mubarak Shah

In real-world surveillance environments, the actions in videos are captured at a wide range of resolutions.

Action Recognition

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos

no code implementations23 Apr 2020 Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan Dave, Yogesh Singh Rawat, Mubarak Shah

For tubelet extraction, we propose a localization network which takes a video clip as input and spatio-temporally detects potential foreground regions at multiple scales to generate action tubelets.

Action Detection Activity Detection

Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI

no code implementations12 Apr 2018 Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gozde Unal

To that end, we incorporate steerable filter responses of the generated and reference images inside a Huber function loss term.

Image Generation

Patch-Based Image Inpainting with Generative Adversarial Networks

no code implementations20 Mar 2018 Ugur Demir, Gozde Unal

Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks.

Image Inpainting

Deep Stacked Networks with Residual Polishing for Image Inpainting

no code implementations31 Dec 2017 Ugur Demir, Gozde Unal

Then the second network modifies the repaired image to cancel the noise introduced by the first network.

Denoising Image Inpainting

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