Kein Foto von Ehsaneddin Jalilian

Ehsaneddin Jalilian

Dipl.-Ing.

20172020

Research output per year

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Publikationen

  • 6 Konferenzbeitrag
  • 2 Kapitel in einem Sammelband
  • 1 Artikel
2020

Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels

Jalilian, E. & Uhl, A., 1 Jan 2020, Advances in Computer Vision and Pattern Recognition. Springer, S. 201-223 23 S. (Advances in Computer Vision and Pattern Recognition).

Publikation: Beitrag in Buch/Bericht/KonferenzbandKapitel in einem SammelbandForschungBegutachtung

Open Access
2019

Deep domain adaption for convolutional neural network (CNN) based iris segmentation: Solutions and pitfalls

Jalilian, E. & Uhl, A., 1 Sep 2019, 2019 International Conference of the Biometrics Special Interest Group, BIOSIG 2019 - Proceedings. Bromme, B., Busch, C., Dantcheva, A., Rathgeb, C. & Uhl, A. (Hrsg.). Institute of Electrical and Electronics Engineers Inc., 9 S. 8897260. (2019 International Conference of the Biometrics Special Interest Group, BIOSIG 2019 - Proceedings).

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

Enhanced Segmentation-CNN based Finger-Vein Recognition by Joint Training with Automatically Generated and Manual Labels

Jalilian, E. & Uhl, A., 1 Jan 2019, ISBA 2019 - 5th IEEE International Conference on Identity, Security and Behavior Analysis. Institute of Electrical and Electronics Engineers Inc., 8 S. 8778522. (ISBA 2019 - 5th IEEE International Conference on Identity, Security and Behavior Analysis).

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

Exploiting superior CNN-based iris segmentation for better recognition accuracy

Hofbauer, H., Jalilian, E. & Uhl, A., 1 Apr 2019, in : Pattern Recognition Letters. 120, S. 17-23 7 S.

Publikation: Beitrag in FachzeitschriftArtikel

Gaze-angle Impact on Iris Segmentation using CNNs

Jalilian, E., Uhl, A. & Karakaya, M., 2019, Proceedings of the IEEE 10th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2019). Tampa, Florida, USA, S. 1-8 8 S.

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

2018

Finger-vein Recognition using Deep Fully Convolutional Neural Semantic Segmentation Networks: The Impact of Training Data

Titel in Übersetzung: Finger-vein Recognition using Deep Fully Convolutional Neural Semantic Segmentation Networks: The Impact of Training DataJalilian, E. & Uhl, A., 2018, Proceedings of the IEEE 10th International Workshop on Information Forensics and Security (WIFS 2018). IEEE, 8 S.

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

Mobile NIR iris recognition: Identifying problems and solutions

Hofbauer, H., Jalilian, E., Sequeira, A. F., Ferryman, J. & Uhl, A., 2 Jul 2018, 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018. Institute of Electrical and Electronics Engineers Inc., S. 17-23 8698590. (2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018).

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

2017

Domain Adaptation for CNN Based Iris Segmentation

Jalilian, E., Uhl, A. & Kwitt, R., 2017, Proceedings of the IEEE 16th International Conference of the Biometrics Special Interest Group (BIOSIG 2017). Darmstadt, Germany, S. 51-60 10 S.

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragForschungBegutachtung

Iris Segmentation Using Fully Convolutional Encoder--Decoder Networks

Titel in Übersetzung: Iris Segmentation Using Fully Convolutional Encoder--Decoder NetworksJalilian, E. & Uhl, A., 2017, Deep Learning for Biometrics. Springer, S. 133-155 23 S. (Advances in Computer Vision and Pattern Recognition ).

Publikation: Beitrag in Buch/Bericht/KonferenzbandKapitel in einem SammelbandForschungBegutachtung