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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 Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
 
 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. [Jalilian22b  ] Iris Image Compression Using Deep Convolutional Neural Networks Ehsaneddin Jalilian, Heinz Hofbauer, Andreas Uhl Sensors 22:7, pp. 2698, 2022
    2. [Schraml20b  ] Towards fish individuality-based aquaculture Rudolf Schraml, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Mohammadmehdi Saberioon, Petr Cisar, Andreas Uhl IEEE Transactions on Industrial Informatics 17:6, pp. 4356-4366, 2021
    3. [Jalilian21b   ] CNN-based off-angle iris segmentation and recognition Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl IET Biometrics 10:5, pp. 518-535, 2021
    4. [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. [Jalilian19c    ] Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels Ehsaneddin Jalilian, Andreas Uhl In Andreas Uhl, Christoph Busch, Sebastien Marcel, Raymond Veldhuis, editors, Handbook of Vascular Biometrics, pp. 200-223, Cham, Switzerland, Springer Nature Switzerland AG, 2019
    2. [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. [Schraml22a ] CNN-based fish iris identification Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Andreas Uhl, Dinara Bekkozhayeva, Petr Cisar In Proceedings of the 30th European Signal Processing Conference (EUSIPCO 2022)Belgrad, Serbia, Augest 29 - September 2
    2. [Jalilian22a    ] Deep Learning Based Off-angle Iris Recognition Ehsaneddin Jalilian, Georg Wimmer, Mahmut Karakaya, Andreas Uhl In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)Singapore, May 22 - May 27, accepted
    3. [Jalilian21a   ] Deep Iris Compression Ehsaneddin Jalilian, Heinz Hofbauer, Andreas Uhl In Pattern Recognition. ICPR International Workshops and Challenges, Proceedings, Part V, pp. 1-15, Milan, Italy, LNCS, 12565, Springer, January 10 - January 15
    4. [Jalilian21c   ] Deep Learning Based Automated Vickers Hardness Measurement Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021), pp. 3-13, Nicosia, Cyprus (held Online due to Covid), Springer Lecture Notes on Computer Science (LNCS), 13053, September 22 - 1 October
    5. [Jalilian20a   ] End-to-end Off-angle Iris Recognition Using CNN Based Iris Segmentation Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl In Proceedings of the IEEE 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020), pp. 1-12, Darmstadt, Germany, September 16 - September 18
    6. [Decelle20a  ] Neural Networks for Cross-Section Segmentation in Raw Images of Log Ends (Best Session Paper Award) Remi Decelle, Ehsaneddin Jalilian In Proceedings of 4th IEEE International Conference on Image Processing, Applications and Systems (IPAS 2020), pp. 1-6, Genova, Italy, December 9 - December 11
    7. [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
    8. [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
    9. [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
    10. [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
    11. [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
    12. [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