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ORCIDFreddie Kalaitzis
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- affiliation: Oxford University, Oxford, GB
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2020 – today
- 2024
[j4]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: 1-5 (2024)- [j3]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): 100-112 (2024) - [i22]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 abs/2406.04230 (2024) - [i21]Raúl Ramos-Pollán, Freddie Kalaitzis, Karthick Panner Selvam:
Uncertainty and Generalizability in Foundation Models for Earth Observation. CoRR abs/2409.08744 (2024) - [i20]Karthick Panner Selvam, Raúl Ramos-Pollán, Freddie Kalaitzis:
Rapid Adaptation of Earth Observation Foundation Models for Segmentation. CoRR abs/2409.09907 (2024) - 2023
- [j2]Maral Bayaraa, Cristian Rossi, Freddie Kalaitzis, Brian Sheil:
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure. Remote. Sens. 15(20): 4910 (2023) - [c7]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: 4962-4965 - [c6]Maral Bayaraa, Cristian Rossi, Alfredo Kalaitzis, Brian Sheil:
Entity Embeddings in Deep Learning for the Detection of Anomalous Insar Deformation Signals. IGARSS 2023: 7890-7893 - [i19]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 abs/2304.06857 (2023) - [i18]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 abs/2310.00119 (2023) - [i17]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 abs/2310.00826 (2023) - [i16]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 abs/2310.02048 (2023) - [i15]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 abs/2310.03513 (2023) - 2022
- [j1]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): 2532 (2022) - [c5]Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis:
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. NeurIPS 2022 - [i14]Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis:
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. CoRR abs/2207.06418 (2022) - [i13]Vanessa Böhm, 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 abs/2211.02869 (2022) - [i12]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 abs/2211.09927 (2022) - [i11]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 abs/2211.10338 (2022) - 2021
- [c4]Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski:
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI 2021: 14902-14910 - [i10]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 abs/2111.03231 (2021) - 2020
- [c3]Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio:
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. CVPR Workshops 2020: 816-825 - [d1]Andrés Muñoz-Jaramillo, Xavier Gitiaux, Anna Jungbluth, Shane A. Maloney, Carl Shneider, Paul J. Wright, Michel Deudon, Alfredo Kalaitzis, Atilim Günes Baydin, Yarin Gal:
Converter software to calibrate and super-resolve solar magnetograms. Zenodo, 2020
- [i9]Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio:
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR abs/2002.06460 (2020) - [i8]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 abs/2011.07369 (2020) - [i7]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 abs/2011.07584 (2020) - [i6]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 abs/2012.09670 (2020)
2010 – 2019
- 2019
- [i5]Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise:
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter. CoRR abs/1902.03093 (2019) - [i4]Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR abs/1910.01570 (2019) - [i3]Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR abs/1910.03085 (2019) - [i2]Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo:
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. CoRR abs/1911.01486 (2019) - [i1]Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo:
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses. CoRR abs/1911.01490 (2019) - 2016
- [c2]Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Accounts. AAAI 2016: 4357-4358 - [c1]Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Profiles. BigDataService 2016: 28-35
Coauthor Index
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