217 citations · 875 across the 53 of their papers we have counts for
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How Transferable are CNN-based Features for Age and Gender Classification?
Gökhan Özbulak, Yusuf Aytar, Hazım Kemal Ekenel
Age and gender are complementary soft biometric traits for face recognition. Successful estimation of age and gender from facial images taken under real-world conditions can contri…
How Image Degradations Affect Deep CNN-based Face Recognition?
Samil Karahan, Merve Kilinc Yildirim, Kadir Kirtac +3
Face recognition approaches that are based on deep convolutional neural networks (CNN) have been dominating the field. The performance improvements they have provided in the so cal…
Apparent Age Estimation Using Ensemble of Deep Learning Models
Refik Can Malli, Mehmet Aygun, Hazim Kemal Ekenel
In this paper, we address the problem of apparent age estimation. Different from estimating the real age of individuals, in which each face image has a single age label, in this pr…
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition
Mostafa Mehdipour Ghazi, Hazim Kemal Ekenel
Deep learning based approaches have been dominating the face recognition field due to the significant performance improvement they have provided on the challenging wild datasets. T…