Profile Image

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:


📬 News

Course Thumbnail

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!
 YouTube Video Views GitHub Repo stars

Podcast Thumbnail

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.
 YouTube Video Views

Podcast Thumbnail

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!
 YouTube Video Views

Podcast Thumbnail

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.
 YouTube Video Views

🔬 Research Output

Manuscript Thumbnail

Major TOM: Expandable Datasets for Earth Observation

IGARSS 2024; International Geoscience and Remote Sensing Symposium
Alistair Francis, Mikolaj Czerkawski

 Arxiv Link HuggingFace GitHub Repo stars


Manuscript Thumbnail

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems

Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Javier Cardona, Christos Tachtatzis
 MDPI Link

Manuscript Thumbnail

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

 Arxiv Link IEEE Xplore Link GitHub Repo stars


Manuscript Thumbnail

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

 Arxiv Link


Manuscript Thumbnail

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

 Arxiv Link


Manuscript Thumbnail

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

 Arxiv Link HuggingFace


Manuscript Thumbnail

SatelliteCloudGenerator: Controllable Cloud and Shadow Synthesis for Multi-Spectral Optical Satellite Images

MDPI Remote Sensing
Mikolaj Czerkawski, Robert Atkinson, Craig Michie, Christos Tachtatzis
 MDPI Link Colab Link  GitHub Repo stars

Manuscript Thumbnail

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
 Arxiv Link IEEE Xplore Link

Manuscript Thumbnail

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
 Arxiv Link  IEEE Xplore Link

Manuscript Thumbnail

Robustness of deep neural networks for micro-Doppler radar classification

International Radar Sympiosium 2022
Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis

 Arxiv Link  IEEE Xplore Link


Manuscript Thumbnail

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

 MDPI Link Open In Collab GitHub Repo stars


Manuscript Thumbnail

Neural Knitworks: Patched Neural Implicit Representation Networks

Pattern Recognition
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis

 PR Link Arxiv Link  GitHub Repo stars


Manuscript Thumbnail

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

 MDPI Link


Manuscript Thumbnail

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

 MDPI Link


Manuscript Thumbnail

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

 Arxiv Link [Workshop Page]


Manuscript Thumbnail

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

 Strathclyde Pure Link IEEE Xplore Link


Manuscript Thumbnail

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

 Strathclyde Pure Link IEEE Xplore Link


Manuscript Thumbnail

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

 Arxiv Link  IEEE Xplore Link


Manuscript Thumbnail

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

 Strathclyde Pure Link IEEE Xplore Link

📂 Datasets and Other

Manuscript Thumbnail

Data for: "Deep internal learning for inpainting of cloud-affected regions in satellite imagery"

Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis

DOI


Human Walking Motion Radar Simulator

Mikolaj Czerkawski, Carmine Clemente, Christos Tachtatzis

 GitHub Repo stars