3 citations · 7 across the 5 of their papers we have counts for
6 papers
Exposure Correction Model to Enhance Image Quality
Fevziye Irem Eyiokur, Dogucan Yaman, Hazım Kemal Ekenel +1
Exposure errors in an image cause a degradation in the contrast and low visibility in the content. In this paper, we address this problem and propose an end-to-end exposure correct…
Ear2Face: Deep Biometric Modality Mapping
Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel
In this paper, we explore the correlation between different visual biometric modalities. For this purpose, we present an end-to-end deep neural network model that learns a mapping…
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel
In this paper, we present multimodal deep neural network frameworks for age and gender classification, which take input a profile face image as well as an ear image. Our main objec…
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix
Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28
This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…
Age and Gender Classification From Ear Images
Dogucan Yaman, Fevziye Irem Eyiokur, Nurdan Sezgin +1
In this paper, we present a detailed analysis on extracting soft biometric traits, age and gender, from ear images. Although there have been a few previous work on gender classific…
Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks
Fevziye Irem Eyiokur, Dogucan Yaman, Hazım Kemal Ekenel
In this paper, we have extensively investigated the unconstrained ear recognition problem. We have first shown the importance of domain adaptation, when deep convolutional neural n…