13 citations · 44 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
With the great capabilities of deep classifiers for radar data processing come the risks of learning dataset-specific features that do not generalize well. In this work, the robust…
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…
Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel SAR
Carmine Clemente, Luca Pallotta, Ian Proudler +3
The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in spac…