14 citations · 43 across the 6 of their papers we have counts for
6 papers
On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs. It is shown that t…
Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The treatment of interfering motion contributions remains one of the key challenges in the domain of radar-based vital sign monitoring. Removal of the interference to extract the v…
On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
Convolutional neural networks have often been proposed for processing radar Micro-Doppler signatures, most commonly with the goal of classifying the signals. The majority of works…
Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting
Mikolaj Czerkawski, Christos Tachtatzis
The letter investigates the utility of text-to-image inpainting models for satellite image data. Two technical challenges of injecting structural guiding signals into the generativ…
Neural Weight Step Video Compression
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
A variety of compression methods based on encoding images as weights of a neural network have been recently proposed. Yet, the potential of similar approaches for video compression…
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applicatio…