92 citations · 133 across the 15 of their papers we have counts for
8 papers · 1 filter
Explainable Transformer Prototypes for Medical Diagnoses
Ugur Demir, Debesh Jha, Zheyuan Zhang +4
Deployments of artificial intelligence in medical diagnostics mandate not just accuracy and efficacy but also trust, emphasizing the need for explainability in machine decisions. T…
Domain Generalization with Correlated Style Uncertainty
Zheyuan Zhang, Bin Wang, Debesh Jha +2
Domain generalization (DG) approaches intend to extract domain invariant features that can lead to a more robust deep learning model. In this regard, style augmentation is a strong…
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…
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…
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…
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…
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir, Gozde Unal
Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks. However, current network soluti…
Deep Stacked Networks with Residual Polishing for Image Inpainting
Ugur Demir, Gozde Unal
Deep neural networks have shown promising results in image inpainting even if the missing area is relatively large. However, most of the existing inpainting networks introduce unde…