Multi-Class U-Net for Segmentation of Non-biometric Identifiers
I Know That Person: Generative Full Body and Face De-identification of People in Images
Face, hairstyle and clothing colour de- identification in video sequences
Protecting the Privacy of Humans in Video Sequences using a Computer Vision-Based De- Identification Pipeline
De-identifying people in videos using neural art
Two-stage cascade model for unconstrained face detection
Tattoo Detection for Soft Biometric De-identification Based on Convolutional Neural Networks
Towards Neural Art-based Face De-identification in Video Data
Deep Learning Architectures for Tattoo Detection and De- identification
Deep Metric Learning for Person Re-Identification and De-Identification
De-identifying People in Videos Using Graph Cuts and Neural Art
Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography
Iterative Automated Foreground Segmentation in Video Sequences Using Graph Cuts
Detecting Humans in Videos by Combining Heterogeneous Detectors
Experimental Evaluation of Vehicle Detection Based on Background Modelling in Daytime and Night-Time Video
Automatic recognition of handwritten corrections for multiple-choice exam answer sheets
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 the Scala programming language (Lecturer in charge)
- BSc Thesis (Lecturers)
- BSc Thesis (Lecturers)
- Digital Logic (Lecturers)
- Software Design Project (Lecturers)
- Software Design Project (Lecturers)
- Software Design Project (Lecturers)
- Software Design Project (Lecturers)
- Digital Logic (Exercises)
- Scripting Languages (Laboratory exercises)
University graduate
- Intelligent Multiagent Systems (Lecturer in charge)
- Introduction to the Scala programming language (Lecturer in charge)
- Project (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
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