Assist. Prof. dr. Žiga Emeršič
Assistant
T: +386 1 4798 240
E:Send a message
Office hours: Tuesdays at 12:30 or by arrangement in R2.33 (LRV) or online.
Room: R2.33 - Laboratorij LRV
Description

My main research interests are in the field of biometry, deep neural networks and computer vision.

Teaching assistant at Image Based Biometry and Operating Systems.

Awards
  • European Association for Biometrics Award 2021 - Max Snijder (+ Best Presentation Award)
  • Voted the best teaching assistant, by the MSc students, 2019.
  • Special recognition award for research, 2018.
  • Special recognition award for teaching, 2016.
Projects
Past projects
Publications

 

REVIJE/Journals

 

  • Žiga Emeršič, Diego Sušanj, Blaž Meden, Peter Peer, Vitomir Štruc: "ContexedNet: Context–aware Ear Detection in Unconstrained Settings", IEEE Access, 2021
  • Indranil Balki, Afsaneh Amirabadi, Jacob Levman, Anne L.Martel, Žiga Emeršič, Blaž Meden, Angel Garcia - Pedrero, Saul C. Ramirez, Dehan Kong, Alan R. Moody, Pascal N. Tyrrell: "Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review", Canadian Association of Radiologists Journal, 2019
  • Žiga Emeršič, Blaž Meden, Vitomir Štruc, Peter Peer: "Evaluation and Analysis of Ear Recognition Models: Performance, Complexity and Resource Requirements", Neural Computing & Applications, 2018
  • Žiga Emeršič, Luka Lan Gabriel, Vitomir Štruc, Peter Peer: "Convolutional Encoder-Decoder Networks for Pixel-Wise Ear Detection and Segmentation", IET Biometrics, 2018
  • Blaž Meden, Žiga Emeršič, Vitomir Štruc, Peter Peer: "k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", Entropy, 2018
  • Žiga Emeršič, Vitomir Štruc, Peter Peer: "Ear Recognition: More Than a Survey", Neurocomputing, 2017
  • Žiga Emeršič, Jernej Bule, Jerneja Žganec-Gros, Vitomir Štruc in Peter Peer: "A case study on multi-modal biometrics in the cloud", Elektrotehniški vestnik 81(3), 2014
  • Peter Peer, Žiga Emeršič, Jernej Bule, Jerneja Žganec-Gros in Vitomir Štruc: "Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios", Mathematical Problems in Engineering, 2014

 

Poglavja v knjigah/Book Chapters

 

  • Dejan Štepec, Žiga Emeršič, Peter Peer, Vitomir Štruc: "Constellation-Based Deep Ear Recognition", Deep Biometrics, Springer, 2019
  • Peter Rot, Matej Vitek, Klemen Grm, Žiga Emeršič, Peter Peer, Vitomir Štruc: "Deep Sclera Segmentation and Recognition", Handbook of Vascular Biometrics, Springer, 2019
  • Žiga Emeršič, Janez Križaj, Vitomir Štruc, Peter Peer: "Deep Ear Recognition Pipeline", Recent Advances in Computer Vision: Theories and Applications, Springer, 2018

 

Konference/conferences

 

  • Leon Premk, Žiga Emeršič, Tim Oblak: “Automatic Latent Fingerprint Segmentation Using Convolutional Neural Networks”, International Convention on Information and Communication Technology, Electronics and Microelectronics, IEEE, 2021
  • Benjamin Džubur, Peter Peer, Žiga Emeršič: "Bias Analysis of Deep Face Recognition with Masked Faces", International Electrotechnical and Computer Conference, IEEE, 2021
  • Alwin Poulose, Žiga Emeršič, Odongo Steven Eyobu, Dong Seog Han, "An Accurate Indoor User Position Estimator For Multiple Anchor UWB Localization", International Conference on Information and Communication Technology Convergence , 2020
  • Anja Hrovatič, Kihoon Kwon, Diego Sušanj, Peter Peer, Žiga Emeršič, "Generation of 2D ear dataset with annotated view angles as a basis for angle-aware ear recognition", International Electrotechnical and Computer Conference, IEEE, 2019
  • Žiga Emeršič, Aruna Kumar S. V., B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi Khiarak, Andrzej Pacut, Earnest Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazım Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj K. Sa, Banshidhar Majhi, Peter Peer, Vitomir Štruc: “The Unconstrained Ear Recognition Challenge 2019”, International Conference On Biometrics, IAPR, 2019
  • Matic Bizjak, Peter Peer, Žiga Emeršič: “Mask R-CNN for Ear Detection”, International Convention on Information and Communication Technology, Electronics and Microelectronics, IEEE, 2019
  • Jihun Kim, Žiga Emeršič, Dong Seog Han: “Vehicle Path Prediction based on Radar and Vision Sensor Fusion for Safe Lane Changing”, International Conference on Artificial Intelligence in Information and Communication, IEEE, 2019
  • Alen Ajanović, Matej Vitek, Blaž Meden, Peter, Peer, Žiga Emeršič: “Comparing performance of biometric models trained on different groups with Bayesian statistics”, ROSUS, 2019
  • Luka Loboda, Matej Vitek, Blaž Meden, Peter, Peer, Žiga Emeršič: “Contactless fingerprint identification using mobile phone camera”, ROSUS, 2019
  • David Romero, Matej Vitek, Blaž Meden, Peter, Peer, Žiga Emeršič: “Subdivided Ear Recognition”, ROSUS, 2019
  • Saul Calderon-Ramirez, Fabian Fallas-Moya, Manuel Zumbado-Corrales, Pascal Tyrrell, Hershel Stark, Žiga Emeršič, Blaž Meden, Martin Solis: “Assessing The Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images“, International Conference on Image Processing: International Conference on Image Processing, IEEE, 2018
  • Tim Oblak, Blaž Meden, Peter Peer, Žiga Emeršič: "Unconstrained ear recognition using residual learning and attention mechanisms ", International Electrotechnical and Computer Conference, IEEE, 2018
  • Žiga Emeršič, Nil Oleart Playà, Vitomir Štruc, Peter Peer: “Towards Accessories-Aware Ear Recognition”, International Work Conference on Bioinspired Intelligence, IEEE, 2018
  • Janez Križaj, Žiga Emeršič, Simon Dobrišek, Peter Peer and Vitomir Štruc: “Localization of Facial Landmarks in Depth Images using Gated Multiple Ridge Descent”, International Work Conference on Bioinspired Intelligence, IEEE, 2018
  • Peter Rot, Žiga Emeršič, Vitomir Štruc, Peter Peer: “Deep Multi-class Eye Segmentation for Ocular Biometrics”, International Work Conference on Bioinspired Intelligence, IEEE, 2018
  • Žiga Emeršič, Dejan Štepec, Vitomir Štruc, Peter Peer, Anjith George, Adil Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye I. Eyiokur, Hazim Kemal Ekenel: “The unconstrained ear recognition challenge”, International Joint Conference on Biometrics, IEEE, 2017
  • Abhijit Das, Umapada Pal, Miguel A. Ferrer, Michael Blumenstein, Dejan Štepec, Peter Rot, Žiga Emeršič, Peter Peer, Vitomir Štruc, Aruna Kumar S. V., B. S. Harish: “SSERBC 2017: Sclera Segmentation and Eye Recognition Benchmarking Competition”, International Joint Conference on Biometrics, IEEE, 2017
  • Primož Lavrič, Žiga Emeršič, Blaž Meden, Vitomir Štruc, Peter Peer: “Do it yourself: building a low-cost iris recognition system at home using off-the-shelf components”, International Electrotechnical and Computer Science Conference, IEEE, 2017
  • Rok Novosel, Blaž Meden, Žiga Emeršič, Vitomir Štruc, Peter Peer: “Face recognition with Raspberry Pi for IoT Environments”, International Electrotechnical and Computer Science Conference, IEEE, 2017
  • Žiga Emeršič, Blaž Meden, Vitomir Štruc, Peter Peer: “Covariate analysis of descriptor-based ear recognition techniques”, International Work Conference on Bioinspired Intelligence, IEEE, 2017
  • Blaž Meden, Žiga Emeršič, Vitomir Štruc, Peter Peer: “K-Same-Net: neural-network-based face deidentification”, International Work Conference on Bioinspired Intelligence, IEEE, 2017
  • Žiga Emeršič, Dejan Štepec, Vitomir Štruc, Peter Peer: "Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild", Conference on Automatic Face and Gesture Recognition, -- International Workshop on Biometrics in the Wild IEEE, 2017
  • Žiga Emeršič, Peter Peer, Ivica Dimitrovski: "Assessment of predictive clustering trees on 2D-image-based ear recognition", International Electrotechnical and Computer Conference, IEEE, 2016
  • Metod Ribič, Žiga Emeršič, Vitomir Štruc, Peter Peer: "Influence of alignment on ear recognition: case study on AWE Dataset", International Electrotechnical and Computer Conference, IEEE, 2016
  • Žiga Emeršič, Peter Peer: "Toolbox for ear biometric recognition evaluation", International Conference on Computer as a Tool, IEEE, 2015
  • Žiga Emeršič, Peter Peer: "Ear biometric database in the wild", International Work Conference on Bioinspired Intelligence, IEEE, 2015
  • Vitomir Štruc, Peter Peer, Žiga Emeršič, Jernej Bule, Jerneja Žganec-Gros: "Multi-modal biometric recognition in the cloud A case study", CLASS Conference, 2013
  • Rok Kreslin, Dejan Dežman, Žiga Emeršič, Peter Peer: "Uporaba nekonvencionalnih uporabniških vmesnikov na osnovi računalniškega vida na področju računalniških iger", ROSUS, 2009

 

Učno gradivo/Study Material

 

  • Žiga Emeršič, Blaž Meden, Peter Peer: "Image based biometry: Tutorials", University of Ljubljana, Faculty of Computer and Information Science, 2018
  • Peter Peer, Žiga Emeršič, Blaž Meden: "Image based biometry", University of Ljubljana, Faculty of Computer and Information Science, 2017

 

 

Vabljena predavanja in delavnice/Invited Talks & Workshops

 

  • Vabljeno predavanje "Ear Biometrics - What, Why and How?" na International Conference on Humans and Technology, 2022, India.
  • Predstavitev in kratek needitiran prispevek "Biometrija skozi računalniški vid" na 1. konferenci prava informacijske varnosti, 2020, Slovenija.
  • Vabljeno predavanje "Using Ears to Recognize Persons" na IEEE CroSYC, 2019, Hrvaška.
  • Vabljeno predavanje na delavnici z naslovom "Medicinske slike - umetna inteligenca" v Alberta Children's Hospital, 2018, Calgary, Kanada.
  • Vabljeno predavanje na 2. mednarodnem simpoziju iz aplikacij strojnega učenja v Costa Rica Institute of Technology, 2018, Kostarika.
  • Soorganizator in predavatelj prve poletne šola strojnega učenja v Centralni Ameriki - EVeMa, 2018, San Jose, Kostarika.
  • Soorganizator poletne šole: razvoj za iPhone platformo, 2009, Slovenija.

 

Intervjuji/Interviews

 

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