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Publications

  1. H. Zhu , Z. Gu, H. Zhao, K. Chen, C. Li, L. He, "Developing a Pattern Discovery Method in Time Series Data and its GPU Acceleration", BIG DATA MINING AND ANALYTICS, 2018

  2. H. Zhu, L. He, S. Fu, R. Li, X. Han, Z. Fu, Y. Hu, C. Li, "WolfPath: Accelerating iterative traversing-based graph processing algorithms on GPU", International Journal of Parallel Programming, 2017

  3. R. Leyva, V. Sanchez and C.-T. Li, "Video Anomaly Detection with Compact Feature Sets for Online Performance," IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3463 – 3478, July 2017
  4. Wang, C. Chen, L. He, B. Gao, J Ren, Z. Fu, S. Fu, Y. Hu, C.-T. Li, "Modelling and developing conflict-aware scheduling on large-scale data centres," Future Generation Computer Systems
  5. C.-C. Chang and C.-T. Li, "Secure Secret Sharing in the Cloud", in Proc. 19th IEEE International Symposium on Multimedia (ISM), 11 - 13 Dec 2017
  6. N. Jia, C.-T. Li and V. Sanchez, "Learning Optimised Representation for View-invariant Gait Recognition," in Proc. IAPR/IEEE International Joint Conference on Biometrics (IJCB), Denver, USA, October 2017
  7. S. Lin and C.-T. Li, “End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification," in Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA'17), Sydney, Australia, 39 November - 1 December, 2017
  8. R. Leyva, V. Sanchez, and C.-T. Li, "Abnormal Event detection in Videos using Binary Features," in Proc. 40th International Conference on Telecommunications and Signal Processing (TSP), July 2017, Barcelona, Spain
  9. C.-C. Chang and C,-T. Li, "Reversible Data Hiding in JPEG Images Based on Adjustable Padding," in Proc. 5th International Workshop on Biometrics and Forensics, Coventry, UK, April 2017
  10. N. Jia, V. Sanchez, C.-T. Li, A. Liew , "Fast and Robust Framework on View-invariant Gait Recognition," in Proc. 5th International Workshop on Biometrics and Forensics, Coventry, UK, April 2017
  11. X. Yu, H. Liang, M. Li, and C.-T. Li, “An adaptive tri-pixel unit steganographic algorithm using the least two significant bits,” in Proc. 5th International Workshop on Biometrics and Forensics, Coventry, UK, April 2017
  12. R. Leyva, V. Sanchez, and C.-T. Li, "The LV Dataset: a Realistic Surveillance Video Dataset for Abnormal Event Detection," in Proc. 5th International Workshop on Biometrics and Forensics, Coventry, UK, April 2017
  13. Ruchaud, N., & Dugelay, J. L. (2017, July). ASePPI : protéger la vie privée tout en préservant l’utilité de la vidéosurveillanc. GRETSI, September 2017.
  14. Ruchaud, N., & Dugelay, J. L. (2017, July). AsePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility in H.264/AVC. Eusipco, August 2017.
  15. Ruchaud, N., & Dugelay, J. L. (2017, July). ASePPI: Robust Privacy Protection Against De-Anonymization Attacks. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on (pp. 1352-1359). IEEE.
  16. Ruchaud, N., & Dugelay, J. L. (2017, February). De-genderization by body contours reshaping. In Identity, Security and Behavior Analysis (ISBA), 2017 IEEE International Conference on (pp. 1-6). IEEE.
  17. Ruchaud, N., & Dugelay, J. L. (2016, July). Privacy protecting, intelligibility preserving video surveillance. In Multimedia & Expo Workshops (ICMEW), 2016 IEEE International Conference on (pp. 1-6). IEEE.
  18. Ruchaud, N., & Dugelay, J. L. (2016). Automatic Face Anonymization in Visual Data: Are we really well protected?. Electronic Imaging, 2016(15), 1-7.
  19. Galdi, C., Nappi, M., & Dugelay, J. L. (2017, May). Secure User Authentication on Smartphones via Sensor and Face Recognition on Short Video Clips. In International Conference on Green, Pervasive, and Cloud Computing (pp. 15-22). Springer, Cham.
  20. Galdi, C., & Dugelay, J. L. (2017). FIRE: Fast Iris REcognition on mobile phones by combining colour and texture features. Pattern Recognition Letters, 91, 44-51.
  21. Galdi, C., Hartung, F., & Dugelay, J. L. (2017). Videos versus still images: Asymmetric sensor pattern noise comparison on mobile phones. Electronic Imaging, 2017(7), 100-103.
  22. Galdi, C., & Dugelay, J. L. (2016, December). Fusing iris colour and texture information for fast iris recognition on mobile devices. In Pattern Recognition (ICPR), 2016 23rd International Conference on (pp. 160-164). IEEE.
  23. Galdi, C., Nappi, M., & Dugelay, J. L. (2016). Multimodal authentication on smartphones: Combining iris and sensor recognition for a double check of user identity. Pattern Recognition Letters, 82, 144-153.
  24. Sepas-Moghaddam, A., Chiesa, V., Correia, P. L., Pereira, F., & Dugelay, J. L. (2017, April). The IST-EURECOM Light Field Face Database. In Biometrics and Forensics (IWBF), 2017 5th International Workshop on (pp. 1-6). IEEE.
  25. Chiesa, V., & Dugelay, J. L. (2016, September). Impact of multi-focused images on recognition of soft biometric traits. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series (Vol. 9971).
  26. Akhtar, Z., Hadid, A., Nixon, M., Tistarelli, M., Dugelay, J. L., & Marcel, S. (2017). Biometrics: In Search of Identity and Security (Q & A). IEEE MultiMedia.
  27. Gonzalez-Sosa, E., Dantcheva, A., Vera-Rodriguez, R., Dugelay, J. L., Brémond, F., & Fierrez, J. (2016, December). Image-based gender estimation from body and face across distances. In Pattern Recognition (ICPR), 2016 23rd International Conference on (pp. 3061-3066). IEEE.
  28. Luca Debiasi, Andreas Uhl, “PRNU Enhancement Effects on Biometric Source Sensor Attribution”, IET Biometrics 4:6, pp. 256-265, 2017
  29. Thomas Bergmüller, Eleftherios Christopoulos, Kevin Fehrenbach, Martin Schnöll, Andreas Uhl, “Recompression effects in iris recognition”, Image and Vision Computing (Special Section on the Best of Biometrics 2015) 58, pp. 142-157, 2017
  30. Peter Wild, Heinz Hofbauer, James Ferryman, Andreas Uhl, “Quality-based Iris Segmentation-level Fusion”, EURASIP Journal on Information Security 2016:25, 2016
  31. Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun, Andreas Uhl, “Experimental Analysis Regarding the Influence of Iris Segmentation on the Recognition Rate”, IET Biometrics 5:3, pp. 200-211, 2016
  32. Aslan, A. Uhl, A. Meschtscherjakov, M. Tscheligi, “Design and Exploration of Mid-air Authentication Gestures”, ACM Transactions on Interactive Intelligent Systems 6:23, pp. 1-22, 2016
  33. Christof Kauba, Andreas Uhl, “Fingerprint Recognition under the Influence of Sensor Ageing”, IET Biometrics 4:6, pp. 254-255, 2016
  34. Ehsaneddin Jalilian, Andreas Uhl, “Iris Segmentation Using Fully Convolutional Encoder--Decoder Networks”, In Bir Bhanu, Ajay Kumar, editors, Deep Learning for Biometrics, pp. 133-155, (ZG) Switzerland, Springer, 2017
  35. Luca Debiasi, Christof Kauba, Andreas Uhl, “Identifying Iris Sensors from Iris Images”, In Christian Rathgeb, Christoph Busch, editors, Iris and Periocular Biometric Recognition, pp. 359-382, London, UK, IET, 2017
  36. Peter Wild, Heinz Hofbauer, James Ferryman, Andreas Uhl, “Robust Iris Image Segmentation”, In Christian Rathgeb, Christoph Busch, editors, Iris and Periocular Biometrics, pp. 57-83, London, UK, IET, 2017
  37. Veronika Haaf, Martin Neukamp, Jutta Hämmerle-Uhl, Andreas Uhl, “Real-World Non-NIR Illumination and Wavelength-Specific Acquisition Variants in Iris Recognition”, In Proceedings of the International Conference on Vision, Image and Signal Processing (ICVISP 2017)Osaka, Japan, September 22 – 24
  38. Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez, Reuben A. Farrugia, “Exploring Deep Learning Image Super-Resolution for Iris Recognition”, In Proc. of the 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 28 - September 2, 2017
  39. Simon Kirchgasser, Andreas Uhl, “Template Ageing in non-minutiae Fingerprint Recognition”, In Proceedings of the International Workshop on Biometrics and Forensics (IWBF '17), pp. 1-6, Coventry, United Kingdom, April 4 – 5
  40. Simon Kirchgasser, Andreas Uhl, “Fingerprint Template Ageing vs. Template Changes Revisited”, In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'17), pp. 1-12, Darmstadt, Germany, September 20 – 22
  41. Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt, “Domain Adaptation for CNN Based Iris Segmentation”, In Proceedings of the 16th International Conference of the Biometrics Special Interest Group (BIOSIG'17), pp. 51-60, Darmstadt, Germany, September 20 – 22
  42. Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl, “Sensor Dependency in Efficient Fingerprint Image Protection using Selective JPEG2000 Encryption”, In Proceedings of the 5th International Workshop on Biometrics and Forensics (IWBF'17), pp. 1-6, Coventry, United Kindom, April 4 - 5
  43. P. Drozdowski, C. Rathgeb, H. Hofbauer, J. Wagner, A. Uhl, C. Busch, “Towards Pre-alignment of Near-infrared Iris Images”, In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB'17), pp. 8, 2017
  44. C. Kauba, L. Debiasi, A. Uhl, “Identifying the Origin of Iris Images Based on Fusion of Local Image Descriptors and PRNU Based Techniques”, In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB'17), pp. 294-301, Denver, Colorado, USA, October 1 - October 4
  45. Simon Kirchgasser, Andreas Uhl, “Template Ageing and Quality Analysis in Time-Span separated Fingerprint Data”, In Proceedings of the IEEE International Conference on Identity, Security and Behavior Analysis (ISBA '17), pp. 1-8, New Delhi, Indien, February 22 – 24
  46. Amrit Pal Singh Bhogal, Dominik Söllinger, Pauline Trung, Andreas Uhl, “Non-reference image quality assessment for biometric presentation attack detection”, In Proceedings of the 5th International Workshop on Biometrics and Forensics (IWBF'17), pp. 1-6, Coventry, United Kindom, April 4 – 5
  47. Amrit Pal Singh Bhogal, Dominik Söllinger, Pauline Trung, Jutta Hämmerle-Uhl, Andreas Uhl, “Non-reference image quality assessment for fingervein presentation attack detection”, In Proceedings of 20th Scandinavian Conference on Image Analysis (SCIA'17), pp. 184-196, Springer Lecture Notes on Computer Science, 10269, 2017
  48. C. Champod and M. Tistarelli (2017) “Biometric Technologies for Forensic Science and Policing: State of the
    Art”, in: M. Tistarelli, C. Champod Ed.s Handbook of Biometrics for Forensic Science, Springer Verlag, pp. 1-15, Springer Verlag, February 2017.
  49. M. Nappi, S Ricciardi, M Tistarelli (2017) “Real Time 3D Face-Ear Recognition on
    Mobile Devices: New Scenarios for 3D Biometrics “in-the-Wild””, in: M. De
    Marsico, M. Nappi, H. Pedro Proença (Ed.s) Human Recognition in Unconstrained
    Environments: Using Computer Vision, Pattern Recognition and Machine Learning
    Methods for Biometrics, pp. 55-76, Academic Press, 2017.
  50. M.Tistarelli, R. Beveridge, P Flynn, M Nappi (2017) Special Issue on Best of
    Biometrics 2015, Guest editors' introduction, Image and Vision Computing, Vol. 58, pp 108-109, 2017.
  51. Z. Akhtar, A Hadid, M Nixon, M Tistarelli, J-L Dugelay, S Marcel (2017) “Biometrics: In
    Search of Identity and Security (Q & A)”, IEEE MultiMedia, Vol. PP, issue 99, pp. 1-10, June 2017.
  52. H.Mendez Vazquez; F Becerra Riera; A Morales-Gonzalez, M. Tistarelli (2017) “Age
    and Gender Classification using Local Appearance Descriptors from Facial
    Components”, in Proc. IAPR/IEEE 3rd Int.l Joint Conference on
    Biometrics - IJCB 2017, pp. 1-7, Denver
    (CO) USA, IEEE Computer Society Press, October 2017.
  53. C.-L. Li and X. Lin, "A Fast Source-Oriented Image Clustering Method for Digital Forensics," EURASIP Journal on Image and Video Processing (Accepted)
  54. R.Li, C.-T. Li and Y. Guan "Inference of a Compact Representation of Sensor
    Fingerprint for Source Camera Identification," Pattern Recognition, 2017 (Accepted)
  55. Lin and C.-T. Li, “Large-Scale Image Clustering based on Camera Fingerprint,” IEEE Transactions on Information Forensics and Security, vol. 12, no. 4, pp. 793-1808, April 2017
  56. Antipov, S.-A. Berrani, and J.-L. Dugelay, “Minimalistic CNN-based ensemble model for gender prediction from face images,” Pattern Recognition Letters, Vol.70, 15 January 2016
  57. Gonzalez-Sosa, A. Dantcheva, R. Vera-Rodriguez, J.-L. Dugelay, F. Bremond, and J. Fierrez, “Image-based gender estimation from body and face across distances,” in Proc. 23rd International Conference on Pattern Recognition, Cancun, Mexico, December 4-8, 2016
  58. Chiesa and J.-L. Dugelay, “Impact of multi-focused images on recognition of soft biometric traits,” SPIE Optical Engineering and Applications, San Diego, USA, 28 August-1 September 2016
  59. Ruchaud and J.-L. Dugelay, “Privacy protecting, intelligibility preserving video surveillance,” IEEE International Conference on Multimedia and Expo, Seattle, USA, July 11-15, 2016
  60. Ruchaud and J.-L. Dugelay, “Automatic face anonymization in visual data: Are we really well protected?” SPIE International Symposium on Electronic Imaging, San Francisco, USA, February14-18, 2016
  61. Lin and C.-T. Li, “Image Provenance Inference through Content-Based Device Fingerprint Analysis”, in Computational Methods in Information Security: Algorithms, Technologies and Applications, ed. by A. I. Awad, N. Yen, and M. Fairhurst, Institution of Engineering and Technology (IET), 2017
  62. Leyva, V. Sanchez, and C.-T. Li, “Fast Binary-Based Video Descriptors for Action Recognition,” in Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA’16), Gold Coast, Australia, 30 November – 2 December, 2016
  63. T. Nguyen, T. T. Nguyen, X. C. Pham, A. W.-C. Liew, Y. Hu, T. Liang, and C.-T. Li, “A Novel Online Bayes Classifier,” in Proc. The International Conference on Digital Image Computing: Techniques and Applications (DICTA’16), Gold Coast, Australia, 30 November – 2 December, 2016
  64. Sayyed-Ali HOSSAYNI, Mohammad-R RAJATI, Esteve DEL ACEBO, Diego REFORGIATO RECUPERO, Aldo GANGEMI, Mohammad-R AKBARZADEH-T and Josep Lluis DE LA ROSA I ESTEVA, Towards Interval Version of Fuzzy Synsets, International Conference of Artificial Intelligence of ACIA, 18, November 2016
  65. Leyva, V. Sanchez, and C.-T. Li, “A Fast Binary Pair-based Video Descriptor for Action Recognition,” in Proc. IEEE International Conference on Image Processing (ICIP’16), Phoenix, Arizona, USA, 25 – 28 September, 2016
  66. Michele Nappi, Ricciardi and Massimo Tistarelli, “Deceiving faces: When plastic surgery challenges face recognition,”: Image and Vision Computing, vol. 54, pp. 71 – 82, October 2016
  67. Rauf, N. Jia, C. Song, Y. Huang, and L. Wang, “Knowledge Transfer Between Networks and Its Application on Gait Recognition”, Digital Signal Processing (2016), International Conference on, October 2016.
  68. Liang, C.-T. Li, Y. Guan and Y. Hu, “Gait Recognition based on the Golden Ratio,” EURASIP Journal on Image and Video Processing, (2016) 2016: 22. doi:10.1186/s13640-016-0126-5, Dec 2016
  69. Lin and C.-T. Li, “Refining PRNU-Based Detection of Image Forgeries,” in Proc. The 1st IEEE Digital Media & Academic Forum, Santorini, Greece, 4 -6 July, 2016
  70. Christian Rathgeb, Andreas Uhl, Peter Wild, Heinz Hofbauer, “Design Decisions for an Iris Recognition SDK. In Kevin Bowyer, Mark J. Burge, editors, Handbook of Iris Recognition, Advances in Computer Vision and Pattern Recognition, Springer, 2016
  71. Heinz Hofbauer, Andreas Uhl, “Calculating a boundary for the Significance from the Equal-Error Rate,” In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB'16), pp. 1-4, 2016
  72. Victoria Ablinger, Cornelia Zenz, Jutta Hämmerle-Uhl, Andreas Uhl, “Compression Standards in Fingervein Recognition. In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB'16), pp. 1-7, 2016
  73. Heinz Hofbauer, Inmaculada Tomeo-Reyes, Andreas Uhl, “Isolating Iris Template Ageing in a Semi-controlled Environment,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'16), pp. 8, Darmstadt, Germany, September 21 - 23, 2016
  74. Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl, “Assessment of Efficient Fingerprint Image Protection Principles using different Types of AFIS,” In Proceedings of the 18th International Conference on Information and Communications Security (ICICS'16), pp. 241-253, Singapore, Springer LNCS, 9977, November 29th - December 2nd, 2016
  75. Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl, “ Efficient Fingerprint Image Protection Principles using Selective JPEG2000 Encryption,” In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 - July 8, 2016
  76. Daniel Kocher, Stefan Schwarz, Andreas Uhl, “Empirical Evaluation of LBP-Extension Features for Finger Vein Spoofing Detection,” In Proceedings of
    the International Conference of the Biometrics Special Interest Group (BIOSIG'16), pp. 8, Darmstadt, Germany, September 21 - 23, 2016
  77. Simon Kirchgasser, Andreas Uhl, “Biometric Menagerie in Time-Span separated Fingerprint Data,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'16), pp. 1-12, Darmstadt, Germany, September 21 - 23, 2016
  78. Christof Kauba, Emanuela Piciucco, Emanuele Maiorana, Patrizio Campisi, Andreas Uhl, “Advanced Variants of Feature Level Fusion for Finger Vein Recognition,” In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'16), pp. 1-12, Darmstadt, Germany, September 21 - 23, 2016
  79. Christof Kauba, Andreas Uhl, “Fingerprint Recognition under the Influence of Sensor Ageing,” In Proceedings of the 4th International Workshop on Biometrics and Forensics (IWBF'16), pp. 1-6, Limassol, Cyprus, March 3 - March 4, 2016
  80. Christof Kauba, Andreas Uhl, “PRNU-Based Image Alignment for Defective Pixel Detection,” In Proceedings of the IEEE Eighth International Conference on Biometrics: Theory, Applications, and Systems (BTAS2016), pp. 1-6, Niagara Falls, Buffalo, New York, USA, September 6 - September 9, 2016
  81. Emanuela Piciucco, Emanuele Maiorana, Christof Kauba, Andreas Uhl, Patrizio Campisi, “Cancelable Biometrics for Finger Vein Recognition,” In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 - July 8, 2016
  82. Christian Rathgeb, Heinz Hofbauer, Andreas Uhl, Christoph Busch, “TripleA: Accelerated Accuracy-preserving Alignment for Iris-Codes,” In Proceedings of the 9th IAPR/IEEE International Conference on Biometrics (ICB'16), pp. 1-8, 2016
  83. Wei and C.-T. Li, “Face Recognition Technologies for Evidential Evaluation of Video Traces,” in Biometrics in Forensic Science, ed. by M. Tistarelli and C. Champod, Springer, 2016