I am a research fellow at the European Space Agency Φ-lab. My research interests involve Computer Vision, Signal Processing, and Machine Learning.
My expertise covers:
- 🍱 Multi-Modal Learning
- 🎨 Generative Models
- 🖼 Image Synthesis and Manipulation
- 🔬 Image Super-Resolution
- 🌆➡🌃Image-to-Image Translation
- 🛰 Computer Vision for Remote Sensing Applications
- 🔊 Computer Vision for Radar Signal Processing
📬 News
DiffusionFastForward Course
A fast and practical guide for diffusion!
I've published a course containing a minimal and flexible implementation of diffusion models for image generation and translation!
Major TOM in satellite-image-deep-learning podcast
Episode about the Major TOM project
Together with Alistair Francis we were hosted by Robin Cole and spoke about the need for open data for AI applications to EO and our effort in that direction.
Appearance in satellite-image-deep-learning podcast
Episode about clouds and satellite imagery and my SatelliteCloudGeneratorTool
I had the pleasure of speaking to Robin Cole as a guest of his YouTube podcast focused on the technical developments of the remote sensing community!
Deep learning for 3D understanding of satellite images
I hosted and produced a technical episode for the satellite-image-deep-learning podcast
3 guests joined me to talk about their work on the topic: Dawa Derksen, Roger Marí, and Yujiao Shi.
🔬 Research Output
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI
Pre-print
Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
Major TOM: Expandable Datasets for Earth Observation
IGARSS 2024; International Geoscience and Remote Sensing Symposium
Alistair Francis, Mikolaj Czerkawski
Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse ProblemsMikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Javier Cardona, Christos Tachtatzis
Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting
IEEE Geoscience and Remote Sensing Letters
Mikolaj Czerkawski, Christos Tachtatzis
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
Big Data from Space (BiDS) 2023
Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Neurips 2023 Workshop Spotlight "Tackling Climate Change with Machine Learning"
Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction
ICCV 2023 Workshop "Towards the Next Generation of Computer Vision Datasets: DataComp Track"
Mikolaj Czerkawski, Alistair Francis
SatelliteCloudGenerator: Controllable Cloud and Shadow Synthesis for Multi-Spectral Optical Satellite Images
MDPI Remote Sensing
Mikolaj Czerkawski, Robert Atkinson, Craig Michie, Christos Tachtatzis
Detecting cloud presence in satellite images using the RGB-based CLIP vision-language model
IGARSS 2023: International Geoscience and Remote Sensing Symposium
Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis
On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
Radar 2022: International Conference on Radar Systems
Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Christos Tachtatzis
Robustness of deep neural networks for micro-Doppler radar classification
International Radar Sympiosium 2022
Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
Deep internal learning for inpainting of cloud-affected regions in satellite imagery
MDPI Remote Sensing
Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Astrid Werkmeister, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Christos Tachtatzis
Neural Knitworks: Patched Neural Implicit Representation Networks
Pattern Recognition
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis
Behavioural classification of cattle using neck-mounted accelerometer-equipped collars
MDPI Sensors
Dejan Pavlovic, Mikolaj Czerkawski, Christopher Davison, Oskar Marko, Craig Michie, Robert Atkinson, Vladimir Crnojevic, Ivan Andonovic, Vladimir Rajovic, Goran Kvascev, Christos Tachtatzis
A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data
MDPI Remote Sensing
Priti Upadhyay, Mikolaj Czerkawski, Christopher Davison, Javier Cardona, Malcolm Macdonald, Ivan Andonovic, Craig Michie, Robert Atkinson, Nikela Papadopoulou, Konstantinos Nikas, Christos Tachtatzis
Neural weight step video compression
NeurIPS Workshop on Pre-Registration Science 2021
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis
A novel micro-doppler coherence loss for deep learning radar applications
European Radar Conference (EuRAD 2021)
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
Non-invasive diver respiration rate monitoring in hyperbaric lifeboat environments using short-range radar
IEEE OCEANS 2021
Mikolaj Czerkawski, Fraser Stewart, Christos Ilioudis, Craig Michie, Ivan Andonovic, Robert Atkinson, Maurice Coull, Donald Sandilands, Gareth Kerr, Carmine Clemente, Christos Tachtatzis
Interference motion removal for Doppler radar vital sign detection using variational encoder-decoder neural network
IEEE Radar Conference 2021 (RadarConf21)
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
On models and approaches for human vital signs extraction from short range radar signals
European Conference on Antennas and Propagation (EuCAP 2020)
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
📂 Datasets and Other
Data for: "Deep internal learning for inpainting of cloud-affected regions in satellite imagery"
Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
Human Walking Motion Radar Simulator
Mikolaj Czerkawski, Carmine Clemente, Christos Tachtatzis
