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ORCIDEhsaneddin Jalilian
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2020 – today
- 2024
[j6]Tugçe Arican, Raymond N. J. Veldhuis, Luuk J. Spreeuwers
, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran B. Raja, Raghavendra Ramachandra, Andreas Uhl:
A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches. IET Biom. 2024: 1-21 (2024)- 2023
- [j5]Ehsaneddin Jalilian, Michael Linortner, Andreas Uhl:
Impact of Image Compression on In Vitro Cell Migration Analysis. Comput. 12(5): 98 (2023) - 2022
- [j4]Ehsaneddin Jalilian, Heinz Hofbauer, Andreas Uhl:
Iris Image Compression Using Deep Convolutional Neural Networks. Sensors 22(7): 2698 (2022) - [c12]Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Petr Císar, Andreas Uhl:
CNN-based fish iris identification. EUSIPCO 2022: 628-632 - [c11]Ehsaneddin Jalilian, Georg Wimmer, Andreas Uhl, Mahmut Karakaya:
Deep Learning Based Off-Angle Iris Recognition. ICASSP 2022: 4048-4052 - 2021
- [j3]Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl:
CNN-based off-angle iris segmentation and recognition. IET Biom. 10(5): 518-535 (2021) - [j2]Rudolf Schraml, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Mohammadmehdi Saberioon, Petr Císar, Andreas Uhl:
Towards Fish Individuality-Based Aquaculture. IEEE Trans. Ind. Informatics 17(6): 4356-4366 (2021) - [c10]Ehsaneddin Jalilian, Andreas Uhl:
Deep Learning Based Automated Vickers Hardness Measurement. CAIP (2) 2021: 3-13 - 2020
- [c9]Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl:
End-to-end Off-angle Iris Recognition Using CNN Based Iris Segmentation. BIOSIG 2020: 117-128 - [c8]Ehsaneddin Jalilian, Heinz Hofbauer, Andreas Uhl:
Deep Iris Compression. ICPR Workshops (5) 2020: 470-485 - [c7]Rémi Decelle, Ehsaneddin Jalilian:
Neural Networks for Cross-Section Segmentation in Raw Images of Log Ends. IPAS 2020: 131-137
2010 – 2019
- 2019
- [j1]Heinz Hofbauer, Ehsaneddin Jalilian, Andreas Uhl:
Exploiting superior CNN-based iris segmentation for better recognition accuracy. Pattern Recognit. Lett. 120: 17-23 (2019) - [c6]Ehsaneddin Jalilian, Andreas Uhl:
Deep Domain Adaption for Convolutional Neural Network (CNN) based Iris Segmentation: Solutions and Pitfalls. BIOSIG 2019: 59-70 - [c5]Ehsaneddin Jalilian, Andreas Uhl, Mahmut Karakaya:
Gaze-angle Impact on Iris Segmentation using CNNs. BTAS 2019: 1-9 - [c4]Ehsaneddin Jalilian, Andreas Uhl:
Enhanced Segmentation-CNN based Finger-Vein Recognition by Joint Training with Automatically Generated and Manual Labels. ISBA 2019: 1-8 - 2018
- [c3]Heinz Hofbauer, Ehsaneddin Jalilian, Ana Filipa Sequeira, James M. Ferryman, Andreas Uhl:
Mobile NIR Iris Recognition: Identifying Problems and Solutions. BTAS 2018: 1-9 - [c2]Ehsaneddin Jalilian, Andreas Uhl:
Finger-vein Recognition using Deep Fully Convolutional Neural Semantic Segmentation Networks: The Impact of Training Data. WIFS 2018: 1-8 - 2017
- [c1]Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt:
Domain Adaptation for CNN Based Iris Segmentation. BIOSIG 2017: 51-60
Coauthor Index
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last updated on 2024-12-23 19:30 CET by the dblp team
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