Mikolaj Czerkawski

According to our database, Mikolaj Czerkawski authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems.

Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Malcolm Macdonald, Javier Cardona, Christos Tachtatzis

J. Imaging, March, 2024

Exploring the Capability of Text-to-Image Diffusion Models With Structural Edge Guidance for Multispectral Satellite Image Inpainting.

Mikolaj Czerkawski, Christos Tachtatzis

IEEE Geosci. Remote. Sens. Lett., 2024

Robustness of Deep Neural Networks for Micro-Doppler Radar Classification.

Mikolaj Czerkawski, Carmine Clemente, W. Craig Michie, Christos Tachtatzis

CoRR, 2024

Major TOM: Expandable Datasets for Earth Observation.

Alistair Francis, Mikolaj Czerkawski

CoRR, 2024

2023

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

Mikolaj Czerkawski, Robert C. Atkinson, W. Craig Michie, Christos Tachtatzis

Remote. Sens., September, 2023

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection.

Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux

CoRR, 2023

Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting.

Mikolaj Czerkawski, Christos Tachtatzis

CoRR, 2023

IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision.

Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann

CoRR, 2023

From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction.

Mikolaj Czerkawski, Alistair Francis

CoRR, 2023

Detecting Cloud Presence In Satellite Images Using The RGB-based Clip Vision-Language Model.

Mikolaj Czerkawski, Robert C. Atkinson, Christos Tachtatzis

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Correction: Czerkawski et al. Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery. Remote Sens. 2022, 14, 1342.

Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Astrid Werkmeister, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Malcolm Macdonald, Christos Tachtatzis

Remote. Sens., December, 2022

Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars.

Dejan Pavlovic, Mikolaj Czerkawski, Christopher Davison, Oskar Marko, W. Craig Michie, Robert C. Atkinson, Vladimir S. Crnojevic, Ivan Andonovic, Vladimir Rajovic, Goran S. Kvascev, Christos Tachtatzis

Sensors, 2022

A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data.

Priti Upadhyay, Mikolaj Czerkawski, Christopher Davison, Javier Cardona, Malcolm Macdonald, Ivan Andonovic, W. Craig Michie, Robert C. Atkinson, Nikela Papadopoulou, Konstantinos Nikas, Christos Tachtatzis

Remote. Sens., 2022

Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery.

Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Astrid Werkmeister, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Malcolm Macdonald, Christos Tachtatzis

Remote. Sens., 2022

2021

Neural Weight Step Video Compression.

Mikolaj Czerkawski, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis

CoRR, 2021

Neural Knitworks: Patched Neural Implicit Representation Networks.

Mikolaj Czerkawski, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis

CoRR, 2021