Projects 2022/2023 Summer
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Models
This study explores the challenge of acquiring large amounts of training data for deep object…
Projects 2022/2023 Summer
Anomaly Detection in Human X-Ray Images using Siamese Neural Networks
This research proposes the use of SNNs integrated with X-ray scans to enhance Anomaly Detection.…
Projects 2022/2023 Summer
Detection and Tracking from Multiple Cameras: Recognition of Helmet Usage by Cyclists on Public Roads
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
Projects 2022/2023 Summer
Anomaly Detection for the Identification of Building Components Defects
This paper focuses on automatic identification of defective roofs and window casings using anomaly detection.…
Master
Smart Tiling Based on Body Key Points to Improve Anomaly Detection in X-ray Images
In prisons, X-ray scanners are often used to find illegal items, and anomaly detection algorithms…
Master
Anomaly Detection for UAV Automatic Safe Landing
With new regulations around unmanned aerial vehicles (UAV) use in the European Union, the drone…
Master
To the effect of dataset order in multiple object tracking
In this paper, we explore the effect of domain adaptation and catastrophic forgetting in conjunction…
Master
Identification of Potato Virus Y in Potato Plants using Deep Learning and GradCAM Verification
Controlling potato plant diseases is crucial in agriculture because diseased plants can result in a…
Master
Transfer Learning for Semantic Ship Defect Segmentation
The inspection of ship-board structures by humans is a time-consuming and expensive activity, creating the…
Master
Using Simulated Data for Deep-Learning Based Real-World Apple Detection
Object detection using CNNs requires a large amount of data to achieve decent performance in…