Freddie Kalaitzis

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Low Resolution Images

Satellite Imagery

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data. CoRR (2024)
Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. IEEE Robotics Autom. Mag. 31 (2) (2024)
César Aybar, David Montero, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova
A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction. CoRR (2023)
Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, Cristian Rossi, David Petit, Sihan Li, Simon J. Dadson
Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning. IGARSS (2023)
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data. CoRR (2023)
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
Fewshot learning on global multimodal embeddings for earth observation tasks. CoRR (2023)
Maral Bayaraa, Cristian Rossi, Freddie Kalaitzis, Brian Sheil
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure. Remote. Sens. 15 (20) (2023)
Omar A. Castaño-Idarraga, Raúl Ramos-Pollán, Freddie Kalaitzis
A contrastive method based on elevation data for remote sensing with scarce and high level semantic labels. CoRR (2023)
Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery. CoRR (2023)
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
SAR-based landslide classification pretraining leads to better segmentation. CoRR (2022)
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. CoRR (2022)
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. NeurIPS (2022)
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
Deep learning based landslide density estimation on SAR data for rapid response. CoRR (2022)
Isabelle Bouchard, Marie-Ève Rancourt, Daniel Aloise, Freddie Kalaitzis
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts. Remote. Sens. 14 (11) (2022)
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. CoRR (2022)
Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation. CoRR (2021)
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR (2020)
Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion. CoRR (2020)