Mikolaj Czerkawski

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.

 

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 Problems

Mikolaj 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

  [Workshop Page]

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

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