izv. prof. dr. sc. Tomislav Hrkać

Associate professor, Department of Electronics, Microelectronics, Computer and Intelligent Systems

Location:
Public phone number:
6129-926
Internal phone number:
426

Protecting the Privacy of Humans in Video Sequences using a Computer Vision-Based De- Identification Pipeline

Brkić, Karla ; Hrkać, Tomislav ; Kalafatić, Zoran
2017.
Expert systems with applications

Face, hairstyle and clothing colour de- identification in video sequences

Brkić, Karla ; Hrkać, Tomislav ; Kalafatić, Zoran ; Sikirić, Ivan
2017.
IET signal processing

I Know That Person: Generative Full Body and Face De-identification of People in Images

Brkić, Karla ; Sikirić, Ivan ; Hrkać, Tomislav ; Kalafatić, Zoran
2017.
The First International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV- COPS 2017)

Multi-Class U-Net for Segmentation of Non-biometric Identifiers

Hrkać, Tomislav ; Brkić, Karla ; Kalafatić, Zoran
2017.
IMVIP 2017 Irish Machine Vision and Image Processing

Towards Neural Art-based Face De-identification in Video Data

Brkić, Karla ; Hrkać, Tomislav ; Sikirić, Ivan ; Kalafatić, Zoran
2016.
First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)

Deep Learning Architectures for Tattoo Detection and De- identification

Hrkać, Tomislav ; Brkić, Karla ; Ribarić, Slobodan ; Marčetić, Darijan
2016.
First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)

Two-stage cascade model for unconstrained face detection

Marčetić, Darijan ; Hrkać, Tomislav ; Ribarić, Slobodan
2016.
First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016

Deep Metric Learning for Person Re-Identification and De-Identification

Filković, Ivan ; Kalafatić, Zoran ; Hrkać, Tomislav
2016.
MIPRO 2016 Special Session on Biometrics, Forensics, De-Identification and Privacy Protection /BiForD

Tattoo Detection for Soft Biometric De-identification Based on Convolutional Neural Networks

Hrkać, Tomislav ; Brkić, Karla ; Kalafatić, Zoran
2016.
1st OeAGM-ARW Joint Workshop

De-identifying people in videos using neural art

Brkić, Karla ; Sikirić, Ivan ; Hrkać, Tomislav ; Kalafatić, Zoran
2016.
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)

Iterative Automated Foreground Segmentation in Video Sequences Using Graph Cuts

Hrkać, Tomislav ; Brkić, Karla
2015.
Lecture Notes in Computer Science : Pattern Recognition / 37th German Conference, GCPR 2015, Aachen, Germany, October 7–10, 2015, Proceedings

Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography

Blažević, Martin ; Brkić, Karla ; Hrkać, Tomislav
2015.
Fourth Croatian Computer Vision Workshop

Detecting Humans in Videos by Combining Heterogeneous Detectors

Brkić, Karla ; Hrkać, Tomislav ; Kalafatić, Zoran
2015.
MIPRO

Automatic recognition of handwritten corrections for multiple-choice exam answer sheets

Čupić, Marko ; Brkić, Karla ; Hrkać, Tomislav ; Mihajlović, Željka ; Kalafatić, Zoran
2014.
37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS)

Experimental Evaluation of Vehicle Detection Based on Background Modelling in Daytime and Night-Time Video

Lipovac, Igor ; Hrkać, Tomislav ; Brkić, Karla ; Kalafatić, Zoran ; Šegvić, Siniša
2014.
3rd Croatian Computer Vision Workshop

A model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets

Ribarić, Slobodan ; Hrkać, Tomislav
2012.
Information systems

Supporting automated grading of formative multiple choice exams by introducing student identifier matrices

Čupić, Marko ; Brkić, Karla ; Hrkać, Tomislav ; Kalafatić, Zoran
2011.
34th International Convention on Information and Communication Technology, Electronics and Microelectronics

Fuzzy spatio-temporal knowledge representation based on high-level Petri nets

Hrkać, Tomislav
2009.

TeMAS - a multi-agent system for temporally rich domains

Ribarić, Slobodan ; Hrkać, Tomislav
2008.
Knowledge and information systems

A Knowledge Representation and Reasoning Based on Petri Nets with Spatio-Temporal Tokens

Ribarić, Slobodan ; Hrkać, Tomislav
2007.
IEEE Region 8 EUROCON 2007 The International Conference on Computer as a Tool

Infrared-Visual Image Registration Based on Corners and Hausdorff Distance

Hrkać, Tomislav ; Kalafatić, Zoran ; Krapac, Josip
2007.
Lecture notes in Computer Science : Image Analysis

Corner-Based Infrared-Visual Image Registration.

Hrkać, Tomislav ; Kalafatić, Zoran
2006.
Elektrotehniška in računalniška konferenca (15 ; 2006)

Multiagent system simulator for temporally rich domains

Hrkać, Tomislav
2004.

Object-Oriented Simulator of Multi-Agent System for Temporally Rich Domains

Ribarić, Slobodan ; Hrkać, Tomislav
2003.
CIT

Hierarchical Model of Multi-Agent System for Spatio-Temproal Rich Domains

Ribarić, Slobodan ; Hrkać, Tomislav ; Pavešić, Nikola
2002.
International Conference on Intelligent Engineering Systems (6 ; 2002)

Model of Multi-agent System for Temporally Rich Domains

Ribarić, Slobodan ; Hrkać, Tomislav ; Dalbelo Bašić, Bojana
2001.
Međunarodni skup MIPRO (24 ; 2001) ; Savjetovanje Mikroelektronika, elektronika i elektroničke tehnologije (10 ; 2001) ; Savjetovanje Multimedijski i hipermedijski sustavi (7 ; 2001)

Using neural nets for generating depth maps by stereo vision

Hrkać, Tomislav
1999.

Teaching duties

University undergraduate

University graduate

Postgraduate doctoral study programme

Competences

  • Circuits and systems
    Logic arrays Logic circuits Microprocessors Programmable circuits Logic devices
  • Computers and information processing
    Computer architecture Image processing Image analysis Image recognition Image registration Image segmentation Machine vision Pattern recognition 
  • Imaging
    Stereo vision
  • Computational and artificial intelligence
    Learning (artificial intelligence) Backpropagation Semisupervised learning Supervised learning Unsupervised learning Machine learning Artificial neural networks Convolutional neural networks Multi-layer neural network
  • Robotics and automation
    Computer vision