V. Štruc

发表

INface: A Toolbox for Illumination Invariant Face Recognition

V. Štruc, 2009 .

Report on the BTAS 2016 Video Person Recognition Evaluation

Patrick J. Flynn, Joel Brogan, Dacheng Tao, 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Speaker de-identification using diphone recognition and speech synthesis

Simon Dobrisek, France Mihelic, Ivo Ipsic, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Robust 3 D Face Recognition

V. Štruc, S. Dobrišek, J. Križaj, 2012 .

The Matlab Toolbox for Illumination Invariant Face Recognition

V. Štruc, 2011 .

Image normalization techniques for robust face recognition

V. Štruc, N. Pavesic, 2009 .

A case study on multi-modal biometrics in the cloud

V. Štruc, J. Zganec-Gros, P. Peer, 2014 .

Towards Efficient Multi-Modal Emotion Recognition

V. Štruc, F. Mihelic, N. Pavesic, 2013 .

Hand-Geometry Device

Vitomir Struc, Nikola Pavesic, V. Štruc, 2009, Encyclopedia of Biometrics.

High Resolution Face Editing with Masked GAN Latent Code Optimization pdf

Simon Dobrisek, Vitomir Struc, Martin Pernus, 2021, ArXiv.

A survey on computer vision based human analysis in the COVID-19 era

Fevziye Irem Eyiokur, V. Štruc, H. K. Ekenel, 2022, Image and Vision Computing.

Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection

V. Štruc, Marija Ivanovska, 2021, ArXiv.

To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?

Patrick J. Flynn, Joel Brogan, Sandipan Banerjee, 2016, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition

Joel Brogan, Walter Scheirer, Patrick Flynn, 2016, 1610.04823.

Development and Evaluation of the Emotional Slovenian Speech Database - EmoLUKS

France Mihelic, Vitomir Struc, Tadej Justin, 2015, TSD.

Gender and affect recognition based on GMM and GMM-UBM modeling with relevance MAP estimation

Rok Gajsek, France Mihelic, Vitomir Struc, 2010, INTERSPEECH.

A Feasibility Study on the Use of Binary Keypoint Descriptors for 3D Face Recognition

France Mihelic, Vitomir Struc, Janez Krizaj, 2014, MCPR.

Face Hallucination Using Cascaded Super-Resolution and Identity Priors

Klemen Grm, Walter J. Scheirer, Vitomir Štruc, 2018, IEEE Transactions on Image Processing.

The Sixth Visual Object Tracking VOT2018 Challenge Results

Michael Felsberg, Huchuan Lu, Fahad Shahbaz Khan, 2018, ECCV Workshops.

The Complete Gabor-Fisher Classifier for Robust Face Recognition

Vitomir Struc, Nikola Pavesic, V. Štruc, 2010, EURASIP J. Adv. Signal Process..

Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models

Simon Dobrisek, Vitomir Struc, Jerneja Zganec-Gros, 2016, Sensors.

Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study

Franc Solina, Tim Oblak, Klemen Grm, 2019, 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).

k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification †

Blaz Meden, Peter Peer, Vitomir Struc, 2018, Entropy.

Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features

Rok Gajsek, France Mihelic, Vitomir Struc, 2010, 2010 20th International Conference on Pattern Recognition.

Strengths and weaknesses of deep learning models for face recognition against image degradations

Klemen Grm, Vitomir Struc, Hazim Kemal Ekenel, 2017, IET Biom..

FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion

C. Fookes, V. Štruc, S. Dobrišek, 2023, ArXiv.

Emotion recognition using linear transformations in combination with video

Rok Gajsek, Simon Dobrisek, France Mihelic, 2009, INTERSPEECH.

Deep Ear Recognition Pipeline

Peter Peer, Vitomir Struc, Ziga Emersic, 2018, Recent Advances in Computer Vision.

Convolutional encoder-decoder networks for pixel-wise ear detection and segmentation

Peter Peer, Vitomir Struc, Ziga Emersic, 2018, IET Biom..

Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild

Peter Peer, Vitomir Struc, Dejan Stepec, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

The Unconstrained Ear Recognition Challenge 2019

Maurício Pamplona Segundo, Sudeep Sarkar, Sambit Bakshi, 2019, 2019 International Conference on Biometrics (ICB).

The unconstrained ear recognition challenge

Stefanos Zafeiriou, Yuxiang Zhou, Terrance E. Boult, 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).

Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks pdf

Peter Peer, Vitomir Struc, Ziga Emersic, 2017, ArXiv.

κ-Same-Net: Neural-Network-Based Face Deidentification

Blaz Meden, Peter Peer, Vitomir Struc, 2017, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI).

Simultaneous regression and feature learning for facial landmarking

V. Štruc, P. Peer, S. Dobrišek, 2019, ArXiv.

Facial Landmark Localization in Depth Images Using Supervised Ridge Descent

Berk Gökberk, Lale Akarun, Vitomir Struc, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Making the Most of Single Sensor Information: A Novel Fusion Approach for 3D Face Recognition Using Region Covariance Descriptors and Gaussian Mixture Models

V. Štruc, S. Dobrišek, J. Krizaj, 2022, Sensors.

Face Deidentification with Generative Deep Neural Networks pdf

Blaz Meden, Peter Peer, Vitomir Struc, 2017, IET Signal Process..

Trends and Controversies

Shengcai Liao, Hugo Proença, Michele Nappi, 2018, IEEE Intelligent Systems.

End-to-End Iris Segmentation Using U-Net

Peter Peer, Vitomir Struc, Juš Lozej, 2018, 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).

Beyond parametric score normalisation in biometric verification systems

Vitomir Struc, Nikola Pavesic, Bostjan Vesnicer, 2014, IET Biom..

Gabor-Based Kernel Partial-Least-Squares Discrimination Features for Face Recognition

Vitomir Struc, Nikola Pavesic, V. Štruc, 2009, Informatica.

Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition

V. Štruc, H. K. Ekenel, Klemen Grm, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

Face Hallucination Revisited: An Exploratory Study on Dataset Bias

Simon Dobrisek, Klemen Grm, Vitomir Struc, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Deep Face Recognition for Surveillance Applications

V. Štruc, 2016 .

UG^2: A Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition

Klemen Grm, Vitomir Struc, Walter J. Scheirer, 2017, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Synthetic Data for Face Recognition: Current State and Future Prospects

Julian Fierrez, V. Štruc, N. Damer, 2023, Image Vis. Comput..

Fairness in Face Presentation Attack Detection

V. Štruc, Arjan Kuijper, N. Damer, 2022, ArXiv.

Optimization-Based Improvement of Face Image Quality Assessment Techniques

V. Štruc, N. Damer, Ziga Babnik, 2023, 2023 11th International Workshop on Biometrics and Forensics (IWBF).

An Evaluation of Video-to-Video Face Verification

Chi-Ho Chan, Nicholas Costen, Sébastien Marcel, 2010, IEEE Transactions on Information Forensics and Security.

Hamming Distance

Stan Z. Li, A. Tyagi, V. Štruc, 2009, Encyclopedia of Biometrics.

SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment

Y. Wang, R. Suganya, C. Rathgeb, 2020, 2020 IEEE International Joint Conference on Biometrics (IJCB).

Face Recognition Using Simplified Probabilistic Linear Discriminant Analysis

Vitomir Struc, Nikola Pavesic, Bostjan Vesnicer, 2012 .

International Journal of Advanced Robotic Systems Face Recognition using Simplified Probabilistic Linear Discriminant Analysis Regular Paper

V. Štruc, N. Pavesic, J. Gros, 2012 .

Removing illumination artifacts from face images using the nuisance attribute projection

France Mihelic, Vitomir Struc, Nikola Pavesic, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Incorporating Duration Information into I-Vector-Based Speaker Recognition Systems

Simon Dobrisek, Vitomir Struc, Bostjan Vesnicer, 2014, Odyssey.

Deep Multi-class Eye Segmentation for Ocular Biometrics

Peter Peer, Vitomir Struc, Žiga Emeršič, 2018, 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).

Towards Robust 3D Face Verification Using Gaussian Mixture Models

Vitomir Štruc, Simon Dobrišek, Janez Križaj, 2012 .

Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks pdf

Franc Solina, Jaka Sircelj, Tim Oblak, 2020, ArXiv.

Photometric Normalization Techniques for Illumination Invariance

Vitomir Struc, Nikola Pavesic, V. Štruc, 2011 .

Histogram Equalization

이선영, 민경원, 손행선, 2012, Encyclopedia of Biometrics.

Fairness in Face Presentation Attack Detection

V. Štruc, Arjan Kuijper, N. Damer, 2022, Pattern Recognit..

From Gabor Magnitude to Gabor Phase Features: Tackling the Problem of Face Recognition under Severe Illumination Changes

V. Štruc, N. Pavesic, 2010 .

An experimental tattoo de-identification system for privacy protection in still images

Vitomir Struc, Nikola Pavesic, Slobodan Ribaric, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Assessing Bias in Face Image Quality Assessment

V. Štruc, Žiga Babnik, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).