Pristupačnost
Protecting the Privacy of Humans in Video Sequences using a Computer Vision-Based De- Identification Pipeline
Face, hairstyle and clothing colour de- identification in video sequences
I Know That Person: Generative Full Body and Face De-identification of People in Images
Multi-Class U-Net for Segmentation of Non-biometric Identifiers
Towards Neural Art-based Face De-identification in Video Data
Deep Learning Architectures for Tattoo Detection and De- identification
Two-stage cascade model for unconstrained face detection
Deep Metric Learning for Person Re-Identification and De-Identification
Tattoo Detection for Soft Biometric De-identification Based on Convolutional Neural Networks
De-identifying people in videos using neural art
Iterative Automated Foreground Segmentation in Video Sequences Using Graph Cuts
Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography
Detecting Humans in Videos by Combining Heterogeneous Detectors
Automatic recognition of handwritten corrections for multiple-choice exam answer sheets
Experimental Evaluation of Vehicle Detection Based on Background Modelling in Daytime and Night-Time Video
A model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets
Supporting automated grading of formative multiple choice exams by introducing student identifier matrices
Fuzzy spatio-temporal knowledge representation based on high-level Petri nets
TeMAS - a multi-agent system for temporally rich domains
A Knowledge Representation and Reasoning Based on Petri Nets with Spatio-Temporal Tokens
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance
Corner-Based Infrared-Visual Image Registration.
Multiagent system simulator for temporally rich domains
Object-Oriented Simulator of Multi-Agent System for Temporally Rich Domains
Hierarchical Model of Multi-Agent System for Spatio-Temproal Rich Domains
Model of Multi-agent System for Temporally Rich Domains
Using neural nets for generating depth maps by stereo vision
Teaching duties
University undergraduate
- Computer Architecture 2 (Lecturer in charge)
- Computer Architecture 2 (Lecturer in charge)
- Introduction to Pattern Recognition (Lecturer in charge)
- Introduction to Pattern Recognition (Lecturer in charge)
- Introduction to the Scala programming language (Lecturer in charge)
- BSc Thesis (Lectures)
- BSc Thesis (Lectures)
- Digital Logic (Lectures)
- Digital Logic (Lectures)
- Final BSc Thesis (Lectures)
- Project C (Lectures)
- Scripting Languages (Lectures)
- Scripting Languages (Lectures)
- Software Design Project (Lectures)
- Digital Logic (Exercises)
University graduate
- Computer Architecture 2 (Lecturer in charge)
- Computer Vision (Lecturer in charge)
- Intelligent Multiagent Systems (Lecturer in charge)
- Introduction to the Scala programming language (Lecturer in charge)
- Project (Lectures)
- Project (Lectures)
- Project (Lectures)
- Seminar 1 (Lectures)
Postgraduate doctoral study programme
- Models for representing images and video (Lecturer in charge)
- Multiprocessors and Parallel Systems (Lecturer in charge)
Competences
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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