Neural Weight Step Video Compression. - Mikolaj Czerkawski; Javier Cardona; Robert C. Atkinson; W. Craig Michie; Ivan Andonovic; Carmine Clemente; Christos Tachtatzis (CoRR, 2021)

Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery. - Mikolaj Czerkawski; Priti Upadhyay; Christopher Davison 001; Astrid Werkmeister; Javier Cardona; Robert C. Atkinson; W. Craig Michie; Ivan Andonovic; Malcolm Macdonald; Christos Tachtatzis (Remote. Sens., 2022)

A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data. - Priti Upadhyay; Mikolaj Czerkawski; Christopher Davison 001; Javier Cardona; Malcolm Macdonald; Ivan Andonovic; W. Craig Michie; Robert C. Atkinson; Nikela Papadopoulou; Konstantinos Nikas; Christos Tachtatzis (Remote. Sens., 2022)

Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars. - Dejan Pavlovic; Mikolaj Czerkawski; Christopher Davison 001; Oskar Marko; W. Craig Michie; Robert C. Atkinson; Vladimir S. Crnojevic; Ivan Andonovic; Vladimir Rajovic; Goran S. Kvascev; Christos Tachtatzis (Sensors, 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 001; Astrid Werkmeister; Javier Cardona; Robert C. Atkinson; W. Craig Michie; Ivan Andonovic; Malcolm Macdonald; Christos Tachtatzis (Remote. Sens., 2022)

Detecting Cloud Presence In Satellite Images Using The RGB-based Clip Vision-Language Model. - Mikolaj Czerkawski; Robert C. Atkinson; Christos Tachtatzis (IGARSS, 2023)

From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction. - Mikolaj Czerkawski; Alistair Francis (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)

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)

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)

SatelliteCloudGenerator: Controllable Cloud and Shadow Synthesis for Multi-Spectral Optical Satellite Images. - Mikolaj Czerkawski; Robert C. Atkinson; W. Craig Michie; Christos Tachtatzis (Remote. Sens., 2023)

Major TOM: Expandable Datasets for Earth Observation. - Alistair Francis; Mikolaj Czerkawski (IGARSS, 2024)

Robustness of Deep Neural Networks for Micro-Doppler Radar Classification. - Mikolaj Czerkawski; Carmine Clemente; W. Craig Michie; Christos Tachtatzis (CoRR, 2024)

On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks. - Mikolaj Czerkawski; Carmine Clemente; W. Craig Michie; Christos Tachtatzis (CoRR, 2024)

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network. - Mikolaj Czerkawski; Christos V. Ilioudis; Carmine Clemente; W. Craig Michie; Ivan Andonovic; Christos Tachtatzis (CoRR, 2024)

A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications. - Mikolaj Czerkawski; Christos V. Ilioudis; Carmine Clemente; W. Craig Michie; Ivan Andonovic; Christos Tachtatzis (CoRR, 2024)

IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI. - Kai Jeggle; Mikolaj Czerkawski; Federico Serva; Bertrand Le Saux; David Neubauer; Ulrike Lohmann (CoRR, 2024)

Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space. - Mikolaj Czerkawski; Marcin Kluczek; Jedrzej S. Bojanowski (CoRR, 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)

Neural Knitworks: Patched neural implicit representation networks. - Mikolaj Czerkawski; Javier Cardona; Robert C. Atkinson; W. Craig Michie; Ivan Andonovic; Carmine Clemente; Christos Tachtatzis (Pattern Recognit., 2024)

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems. - Mikolaj Czerkawski; Priti Upadhyay; Christopher Davison 001; Robert C. Atkinson; W. Craig Michie; Ivan Andonovic; Malcolm Macdonald; Javier Cardona; Christos Tachtatzis (J. Imaging, 2024)

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. - Benedikt Blumenstiel; Paolo Fraccaro; Valerio Marsocci; Johannes Jakubik; Stefano Maurogiovanni; Mikolaj Czerkawski; Rocco Sedona; Gabriele Cavallaro; Thomas Brunschwiler; Juan Bernabé-Moreno; Nicolas Longépé (CVPR Workshops, 2025)

MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data. - Paul Borne–Pons; Mikolaj Czerkawski; Rosalie Martin; Romain Rouffet (CVPR Workshops, 2025)

COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails. - Miguel Espinosa; Valerio Marsocci; Yuru Jia; Elliot Crowley; Mikolaj Czerkawski (CVPR Workshops, 2025)