9 citations · 17 across the 14 of their papers we have counts for
3 papers · 1 filter
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Kai Jeggle, Mikolaj Czerkawski, Federico Serva +3
Clouds containing ice particles play a crucial role in the climate system. Yet they remain a source of great uncertainty in climate models and future climate projections. In this w…
From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction
Mikolaj Czerkawski, Alistair Francis
Large datasets, such as LAION-5B, contain a diverse distribution of images shared online. However, extraction of domain-specific subsets of large image corpora is challenging. The…
Detecting Cloud Presence in Satellite Images Using the RGB-based CLIP Vision-Language Model
Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis
This work explores capabilities of the pre-trained CLIP vision-language model to identify satellite images affected by clouds. Several approaches to using the model to perform clou…