activity
20172022
most citedDeep Stacked Networks with Residual Polishing for Image Inpainting

6 citations · 8 across the 4 of their papers we have counts for

collaborators

8 papers

eess.IV20221 cited

Transformer based Generative Adversarial Network for Liver Segmentation

Ugur Demir, Zheyuan Zhang, Bin Wang +6

Automated liver segmentation from radiology scans (CT, MRI) can improve surgery and therapy planning and follow-up assessment in addition to conventional use for diagnosis and prog…

cs.CV20211 cited

On Recognizing Occluded Faces in the Wild

Mustafa Ekrem Erakın, Uğur Demir, Hazım Kemal Ekenel

Facial appearance variations due to occlusion has been one of the main challenges for face recognition systems. To facilitate further research in this area, it is necessary and imp…

eess.IV2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Ugur Demir, Ismail Irmakci, Elif Keles +7

Visual explanation methods have an important role in the prognosis of the patients where the annotated data is limited or unavailable. There have been several attempts to use gradi…

cs.CV2020

TinyVIRAT: Low-resolution Video Action Recognition

Ugur Demir, Yogesh S Rawat, Mubarak Shah

The existing research in action recognition is mostly focused on high-quality videos where the action is distinctly visible. In real-world surveillance environments, the actions in…

cs.CV2020

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

Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur +5

Activity detection in security videos is a difficult problem due to multiple factors such as large field of view, presence of multiple activities, varying scales and viewpoints, an…

cs.CV2018

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

Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir +1

Magnetic Resonance Angiography (MRA) has become an essential MR contrast for imaging and evaluation of vascular anatomy and related diseases. MRA acquisitions are typically ordered…