Freddie Kalaitzis

27 papers A* 2C 1Journal 24
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space.
CoRR
Michael J. Smith, Luke Fleming, James E. Geach, Ryan J. Roberts, Freddie Kalaitzis, James Banister
2025 J jnl
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates.
CoRR
Kelsey Doerksen, Yuliya Marchetti, Kevin Bowman, Steven Lu, James Montgomery, Yarin Gal, Freddie Kalaitzis, Kazuyuki Miyazaki
2025 J jnl
Trustworthy Super-Resolution of Multispectral Sentinel-2 Imagery With Latent Diffusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Simon Donike, César Aybar, Luis Gómez-Chova, Freddie Kalaitzis
2025 J jnl
Uncertainty Quantification for Surface Ozone Emulators using Deep Learning.
CoRR
Kelsey Doerksen, Yuliya Marchetti, Steven Lu, Kevin Bowman, James Montgomery, Kazuyuki Miyazaki, Yarin Gal, Freddie Kalaitzis
2024 J jnl
A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
César Aybar, David Montero, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova
2024 A* conf
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data.
NeurIPS
Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2024 J jnl
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data.
CoRR
Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2024 J jnl
Rapid Adaptation of Earth Observation Foundation Models for Segmentation.
CoRR
Karthick Panner Selvam, Raúl Ramos-Pollán, Freddie Kalaitzis
2024 J jnl
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.
IEEE Robotics Autom. Mag.
Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez
2024 J jnl
Uncertainty and Generalizability in Foundation Models for Earth Observation.
CoRR
Raúl Ramos-Pollán, Freddie Kalaitzis, Karthick Panner Selvam
2023 J jnl
A Contrastive Method Based on Elevation Data for Remote Sensing with Scarce and High Level Semantic Labels.
CoRR
Omar A. Castaño-Idarraga, Raúl Ramos-Pollán, Freddie Kalaitzis
2023 J jnl
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure.
Remote. Sens.
Maral Bayaraa, Cristian Rossi, Freddie Kalaitzis, Brian Sheil
2023 J jnl
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.
CoRR
Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.
CoRR
Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Fewshot learning on global multimodal embeddings for earth observation tasks.
CoRR
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.
CoRR
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 C conf
Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning.
IGARSS
Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, Cristian Rossi, David Petit, Sihan Li, Simon J. Dadson
2022 J jnl
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.
CoRR
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2022 J jnl
Deep learning based landslide density estimation on SAR data for rapid response.
CoRR
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2022 J jnl
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts.
Remote. Sens.
Isabelle Bouchard, Marie-Ève Rancourt, Daniel Aloise, Freddie Kalaitzis
2022 A* conf
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution.
NeurIPS
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
2022 J jnl
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution.
CoRR
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
2022 J jnl
SAR-based landslide classification pretraining leads to better segmentation.
CoRR
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2021 J jnl
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation.
CoRR
Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis
2020 J jnl
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery.
CoRR
Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
2020 J jnl
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion.
CoRR
Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis
2020 J jnl
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.
CoRR
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski