Freddie Kalaitzis

Orcid: 0000-0002-1471-646X

Affiliations:
  • Oxford University, Oxford, GB


According to our database1, Freddie Kalaitzis authored at least 27 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure.
Remote. Sens., October, 2023

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.
CoRR, 2023

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.
CoRR, 2023

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.
CoRR, 2023

Fewshot learning on global multimodal embeddings for earth observation tasks.
CoRR, 2023

A Contrastive Method Based on Elevation Data for Remote Sensing with Scarce and High Level Semantic Labels.
CoRR, 2023

Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Entity Embeddings in Deep Learning for the Detection of Anomalous Insar Deformation Signals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts.
Remote. Sens., 2022

Deep learning based landslide density estimation on SAR data for rapid response.
CoRR, 2022

SAR-based landslide classification pretraining leads to better segmentation.
CoRR, 2022

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.
CoRR, 2022

Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation.
CoRR, 2021

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.
CoRR, 2020

Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion.
CoRR, 2020

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery.
CoRR, 2020

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.
CoRR, 2020

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses.
CoRR, 2019

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties.
CoRR, 2019

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder.
CoRR, 2019

Prediction of GNSS Phase Scintillations: A Machine Learning Approach.
CoRR, 2019

A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter.
CoRR, 2019

2016
Predicting Gaming Related Properties from Twitter Profiles.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

Predicting Gaming Related Properties from Twitter Accounts.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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