Search Results for author: Fevziye Irem Eyiokur

Found 6 papers, 4 papers with code

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

1 code implementation16 Mar 2021 Fevziye Irem Eyiokur, Hazim Kemal Ekenel, Alexander Waibel

To train and evaluate the developed system, we collected and annotated images that represent face mask usage and face-hand interaction in the real world.

Ear2Face: Deep Biometric Modality Mapping

1 code implementation2 Jun 2020 Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel

We have achieved very promising results, especially on the FERET dataset, generating visually appealing face images from ear image inputs.

Image-to-Image Translation Person Identification

Multimodal Age and Gender Classification Using Ear and Profile Face Images

1 code implementation23 Jul 2019 Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel

Experimental results indicated that profile face images contain a rich source of information for age and gender classification.

Age And Gender Classification Domain Adaptation +2

The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix

no code implementations11 Mar 2019 Žiga Emeršič, Aruna Kumar S. V., B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi Khiarak, Andrzej Pacut, Earnest Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazim Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj K. Sa, Banshidhar Majhi, Peter Peer, Vitomir Štruc

The goal of the challenge is to assess the performance of existing ear recognition techniques on a challenging large-scale ear dataset and to analyze performance of the technology from various viewpoints, such as generalization abilities to unseen data characteristics, sensitivity to rotations, occlusions and image resolution and performance bias on sub-groups of subjects, selected based on demographic criteria, i. e. gender and ethnicity.

Person Recognition

Age and Gender Classification From Ear Images

no code implementations14 Jun 2018 Dogucan Yaman, Fevziye Irem Eyiokur, Nurdan Sezgin, Hazim Kemal Ekenel

Although there have been a few previous work on gender classification using ear images, to the best of our knowledge, this study is the first work on age classification from ear images.

Age And Gender Classification Age Estimation +2

Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks

1 code implementation21 Mar 2018 Fevziye Irem Eyiokur, Dogucan Yaman, Hazim Kemal Ekenel

We have first shown the importance of domain adaptation, when deep convolutional neural network models are used for ear recognition.

Domain Adaptation

Cannot find the paper you are looking for? You can Submit a new open access paper.