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20162026
most citedStrengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

217 citations · 875 across the 53 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

Fight Detection from Still Images in the Wild

Şeymanur Aktı, Ferda Ofli, Muhammad Imran +1

Detecting fights from still images shared on social media is an important task required to limit the distribution of violent scenes in order to prevent their negative effects. For…

cs.CV2021★ 1 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…

cs.CV2021★ 2 cited

Shuffled Patch-Wise Supervision for Presentation Attack Detection

Alperen Kantarcı, Hasan Dertli, Hazım Kemal Ekenel

Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person's face. Most of the state-of-…

cs.CV2021

Alpha Matte Generation from Single Input for Portrait Matting

Dogucan Yaman, Hazım Kemal Ekenel, Alexander Waibel

In the portrait matting, the goal is to predict an alpha matte that identifies the effect of each pixel on the foreground subject. Traditional approaches and most of the existing w…

cs.CV2021★ 28 cited

Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19

Fevziye Irem Eyiokur, Hazım Kemal Ekenel, Alexander Waibel

Health organizations advise social distancing, wearing face mask, and avoiding touching face to prevent the spread of coronavirus. Based on these protective measures, we developed…