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Posts

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

publications

Blockchain-based electronic voting system for elections in Turkey

Published in 2019 4th International Conference on Computer Science and Engineering (UBMK), 2019

Oral presentation.

Recommended citation: R. Bulut, A. Kantarcı, S. Keskin and Ş. Bahtiyar, "Blockchain-Based Electronic Voting System for Elections in Turkey," 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, 2019, pp. 183-188, doi: 10.1109/UBMK.2019.8907102. https://arxiv.org/pdf/1911.09903

Thermal to visible face recognition using deep autoencoders

Published in 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), 2019

Presented as poster. Code

Recommended citation: A. Kantarcı and H. K. Ekenel, "Thermal to Visible Face Recognition Using Deep Autoencoders," 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 2019, pp. 1-5. https://ieeexplore.ieee.org/abstract/document/8897222

Offline Signature Verification on Real-World Documents

Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020

A realistic signature verification dataset and a novel method to separate signatures from background. Code

Recommended citation: Deniz Engin, Alperen Kantarci, Secil Arslan, Hazim Kemel Ekenel; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 808-809 https://openaccess.thecvf.com/content_CVPRW_2020/papers/w48/Engin_Offline_Signature_Verification_on_Real-World_Documents_CVPRW_2020_paper.pdf

Deep Learning Based, Real-Time Object Detection for Autonomous Driving

Published in 2020 28th Signal Processing and Communications Applications Conference (SIU), 2020

Oral presentation.

Recommended citation: G. Akyol, A. Kantarcı, A. E. Çelik and A. Cihan Ak, "Deep Learning Based, Real-Time Object Detection for Autonomous Driving," 2020 28th Signal Processing and Communications Applications Conference (SIU), Gaziantep, Turkey, 2020, pp. 1-4, doi: 10.1109/SIU49456.2020.9302500. https://ieeexplore.ieee.org/abstract/document/9302500/

Face liveness detection competition (livdet-face)-2021

Published in 2021 IEEE International Joint Conference on Biometrics (IJCB), 2021

Overview of the face liviness detection competition that we have participated.

Recommended citation: S. Purnapatra et al., "Face Liveness Detection Competition (LivDet-Face) - 2021," 2021 IEEE International Joint Conference on Biometrics (IJCB), Shenzhen, China, 2021, pp. 1-10, doi: 10.1109/IJCB52358.2021.9484359. https://par.nsf.gov/servlets/purl/10323024

Shuffled patch-wise supervision for presentation attack detection

Published in 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), 2021

Oral presentation. We propose a novel training augmentation for face presentation attack detection methods. Our method improves the generalization of a given neural network based face liveness detection network.

Recommended citation: A. Kantarcı, H. Dertli and H. K. Ekenel, "Shuffled Patch-Wise Supervision for Presentation Attack Detection," 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 2021, pp. 1-5, doi: 10.1109/BIOSIG52210.2021.9548317. https://arxiv.org/pdf/2109.03484

MOCCA: Multilayer one-class classification for anomaly detection

Published in IEEE Transactions on Neural Networks and Learning Systems, 2021

We propose a novel framework, named multilayer one-class classification (MOCCA), to train and test deep learning models on the anomaly detection task. Code

Recommended citation: F. V. Massoli, F. Falchi, A. Kantarci, Ş. Akti, H. K. Ekenel and G. Amato, "MOCCA: Multilayer One-Class Classification for Anomaly Detection," in IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 6, pp. 2313-2323, June 2022, doi: 10.1109/TNNLS.2021.3130074. https://arxiv.org/pdf/2012.12111

Automatic Component Counting on P&ID Drawings

Published in 2022 30th Signal Processing and Communications Applications Conference (SIU), 2022

We propose a system that can process digital P&ID documents.

Recommended citation: Ş. Aktı, A. Kantarcı, M. E. Erakın, F. Cinik, T. Timirci and H. K. Ekenel, "Automatic Component Counting on P&ID Drawings," 2022 30th Signal Processing and Communications Applications Conference (SIU), Safranbolu, Turkey, 2022, pp. 1-4, doi: 10.1109/SIU55565.2022.9864931. https://arxiv.org/pdf/2012.12111

Deep patch-wise supervision for presentation attack detection

Published in IET Biometrics, 2022

We propose a novel training augmentation for face presentation attack detection methods. Our method improves the generalization of a given neural network based face liveness detection network.

Recommended citation: Kantarcı, A., Dertli, H., Ekenel, H.K.: Deep patch-wise supervision for presentation attack detection. IET Biometrics 11(5), 396–406 (2022). https://doi.org/10.1049/bme2.12091 https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/bme2.12091

Bias-Aware Face Mask Detection Dataset

Published in Arxiv preprint, 2022

We present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world. Dataset acquisition

Recommended citation: Kantarcı, A., Ofli, F., Imran, M., & Ekenel, H. K. (2022). Bias-Aware Face Mask Detection Dataset. arXiv preprint arXiv:2211.01207. https://arxiv.org/pdf/2012.12111

A survey on computer vision based human analysis in the COVID-19 era

Published in Image and Vision Computing, 2022

The goal of this survey is to provide an introduction to the problems induced by COVID-19 into such research and to present a comprehensive review of the work done in the computer vision based human analysis field. Particular attention is paid to the impact of facial masks on the performance of various methods and recent solutions to mitigate this problem.

Recommended citation: Eyiokur, F. I., Kantarcı, A., Erakın, M. E., Damer, N., Ofli, F., Imran, M., ... & Ekenel, H. K. (2022). A survey on computer vision based human analysis in the COVID-19 era. Image and Vision Computing, 104610. https://www.sciencedirect.com/science/article/pii/S0262885622002396

Face-Dubbing++: Lip-synchronous, voice preserving translation of videos

Published in 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023

In this paper, we propose a neural end-to-end system for voice preserving and lip-synchronous video translation. The system is designed to combine multiple component models and produces a video of the original speaker speaking in the target language that is lip-synchronous with the target speech, yet maintains emphases in speech, voice characteristics, and face video of the original speaker. The result is a video of a speaker speaking in another language without actually knowing it.

Recommended citation: A. Waibel et al., "Face-Dubbing++: LIP-Synchronous, Voice Preserving Translation Of Videos," 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSPW59220.2023.10193719. https://ieeexplore.ieee.org/abstract/document/10193719

Alperen Kantarcı

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