Freddie Kalaitzis

According to our database, Freddie Kalaitzis authored at least 33 papers between 2016 and 2024.

Collaborative distances:

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

2024

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.

Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez

IEEE Robotics Autom. Mag., June, 2024

A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution.

César Aybar, David Montero, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova

IEEE Geosci. Remote. Sens. Lett., 2024

Rapid Adaptation of Earth Observation Foundation Models for Segmentation.

Karthick Panner Selvam, Raúl Ramos-Pollán, Freddie Kalaitzis

CoRR, 2024

Uncertainty and Generalizability in Foundation Models for Earth Observation.

Raúl Ramos-Pollán, Freddie Kalaitzis, Karthick Panner Selvam

CoRR, 2024

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data.

Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2024

2023

Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure.

Maral Bayaraa, Cristian Rossi, Freddie Kalaitzis, Brian Sheil

Remote. Sens., October, 2023

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

Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

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

Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

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

Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

Fewshot learning on global multimodal embeddings for earth observation tasks.

Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

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

Omar A. Castaño-Idarraga, Raúl Ramos-Pollán, Freddie Kalaitzis

CoRR, 2023

Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning.

Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, Cristian Rossi, David Petit, Sihan Li, Simon J. Dadson

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

Entity Embeddings in Deep Learning for the Detection of Anomalous Insar Deformation Signals.

Maral Bayaraa, Cristian Rossi, Alfredo Kalaitzis, Brian Sheil

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.

Isabelle Bouchard, Marie-Ève Rancourt, Daniel Aloise, Freddie Kalaitzis

Remote. Sens., 2022

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

Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

SAR-based landslide classification pretraining leads to better segmentation.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

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

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution.

Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis

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.

Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis

CoRR, 2021

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery.

Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Converter software to calibrate and super-resolve solar magnetograms.

Andrés Muñoz-Jaramillo, Xavier Gitiaux, Anna Jungbluth, Shane A. Maloney, Carl Shneider, Paul J. Wright, Michel Deudon, Alfredo Kalaitzis, Atilim Günes Baydin, Yarin Gal

Dataset, April, 2020

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.

Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

CoRR, 2020

Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion.

Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis

CoRR, 2020

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

Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste

CoRR, 2020

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

Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio

CoRR, 2020

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks.

Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio

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.

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo

CoRR, 2019

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

Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo

CoRR, 2019

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder.

Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

CoRR, 2019

Prediction of GNSS Phase Scintillations: A Machine Learning Approach.

Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

CoRR, 2019

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

Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise

CoRR, 2019

2016

Predicting Gaming Related Properties from Twitter Profiles.

Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

Predicting Gaming Related Properties from Twitter Accounts.

Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016