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Member Profile

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
 
 Portrait Photo  
Firstname:  Ehsaneddin
Lastname:  Jalilian
Room No: 0.23
Telephone: (+43) 662 8044 - 6336
Mail: ejalilian@cosy.sbg.ac.at

Ehsaneddin Jalilian

 
 

About Me:
I am a PhD student in the WaveLab group.

 
 

Research Interests:

  • Deep Learning
  • Biometrics
  • Visual Recognition & Segmentation

 
 

Publications:

    Journal Articles

    1. [Hofbauer19a    ] Exploiting superior CNN-based iris segmentation for better recognition accuracy Heinz Hofbauer, Ehsaneddin Jalilian, Andreas Uhl Pattern Recognition Letters 120, pp. 17-23, 2019

    Book Chapters

    1. [Jalilian17a   ] Iris Segmentation Using Fully Convolutional Encoder--Decoder Networks Ehsaneddin Jalilian, Andreas Uhl In Bir Bhanu, Ajay Kumar, editors, Deep Learning for Biometrics, pp. 133-155, (ZG) Switzerland, Springer, 2017

    Conference Papers

    1. [Jalilian19b  ] Deep Domain Adaption for Convolutional Neural Network (CNN) based Iris Segmentation: Solutions and Pitfalls Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the IEEE 18th International Conference of the Biometrics Special Interest Group (BIOSIG 2019), pp. 1-9, Darmstadt, Germany, September 18 - September 20
    2. [Jalilian19a   ] Gaze-angle Impact on Iris Segmentation using CNNs Ehsaneddin Jalilian, Andreas Uhl, Mahmut Karakaya In Proceedings of the IEEE 10th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2019), pp. 1-8, Tampa, Florida, USA, September 23 - September 26
    3. [Jalilian18b   ] Enhanced Segmentation-CNN based Finger-Vein Recognition by Joint Training with Automatically Generated and Manual Labels Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the IEEE 5th International Conference on Identity, Security and Behavior Analysis (ISBA 2019), pp. 1-8, IDRBT, January 22 - January 24
    4. [Hofbauer18b    ] Mobile NIR Iris Recognition: Identifying Problems and Solutions Heinz Hofbauer, Ehsaneddin Jalilian, Ana F. Sequeira, James Ferryman, Andreas Uhl In Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018), pp. 9, October 22 - October 25
    5. [Jalilian18a  ] Finger-vein Recognition using Deep Fully Convolutional Neural Semantic Segmentation Networks: The Impact of Training Data Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the IEEE 10th International Workshop on Information Forensics and Security (WIFS 2018), pp. 1-8, Hong Kong, December 11 - December 13
    6. [Jalilian17b    ] Domain Adaptation for CNN Based Iris Segmentation Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt In Proceedings of the IEEE 16th International Conference of the Biometrics Special Interest Group (BIOSIG 2017), pp. 51-60, Darmstadt, Germany, September 20 - September 22