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April 2020: Dr. Štruc elevated to Senior IEEE Member
Dr. Štruc was elevated to Senior IEEE member in the beginning of April. Senior IEEE Member is an honor given out in recongition of exceptional achievements in research, teaching or […]
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March 2020: Dr. Vitomir Štruc appointed Associate Editor for Pattern Recognition
Prof. Vitomir Štruc was invited to join the Editorial Board of Pattern Recognition as an Associate Editor. Pattern Recognition is one of the premier journals in the field of pattern […]
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February 2020: New paper published on sclera biometrics in NCAA
Working on ocular biometrics? Check out our new paper in Neural Computing & Applications (Impact factor: 4.664) on a new dataset for sclera recognition. Matej Vitek, Peter Rot, Vitomir Štruc, […]
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February 2020: LMI members co-organize and attend the CVWW 2020 conference
The Computer Vision Winter Workshop 2020 conference took place in Rogaška Slatina, Slovenia, on february 3-5 2020. This year, the conference was co-organized by members of the ViCoS lab from […]
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February 2020: New chapter published in the Deep Biometrics book (Springer)
New chapter on ear recognition published in the Deep Biometrics book published by Springer. The chapter is made available as a preprint here: Read me In the chapter we present a […]
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November 2019: Our paper received the IET Premium Award for Best paper in IET Biometrics 2019
Our paper “Strengths and weaknesses of deep learning models for face recognition against image degradations” has received the 2019 Premium Award for Best Paper in IET Biometrics. Premium Awards are […]
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November 2019: New chapter published in the Handbook on Vascular Biometrics (Springer)
New chapter on sclera biometrics published in the Handbook on Vascular Biometrics (Springer). The chapter and handbook are published in open access: https://lnkd.in/giRK_zZ In the chapter we present new models […]
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November 2019: Our face super-resolution method selected for the top-10 research achievements of the University of Ljubljana in 2019
The resolution of image data is of key importance in people’s ability to recognize the content of images, as well as in various computer vision tasks, including object detection, tracking […]
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October 2019: Paper published in Neural Computing and Applications
Our paper ” Simultaneous multi-descent regression and feature learning for facial landmarking in depth images ” has been accepted for publication in Neural Computing and Applications (SCI IF 2018: 4.664). […]
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October 2019: Paper accepted in IEEE Transactions on Image Processing
Our paper “Face hallucination using cascaded super-resolution and identity priors” has been accepted for publication in IEEE Transactions on Image Processing (SCI IF 2018: 6,79). The paper presents a novel […]