Christian Requena-Mesa

According to our database, Christian Requena-Mesa authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multi-Modal Learning for Geospatial Vegetation Forecasting.

Vitus Benson, Claire Robin, Christian Requena-Mesa, Lázaro Alonso, Nuno Carvalhais, José Cortés, Zhihan Gao, Nora Linscheid, Mélanie Weynants, Markus Reichstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction.

Vitus Benson, Christian Requena-Mesa, Claire Robin, Lázaro Alonso, José Cortés, Zhihan Gao, Nora Linscheid, Mélanie Weynants, Markus Reichstein

CoRR, 2023

2022

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs.

Claire Robin, Christian Requena-Mesa, Vitus Benson, Lázaro Alonso, Jeran Poehls, Nuno Carvalhais, Markus Reichstein

CoRR, 2022

2021

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization.

Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman

CoRR, 2021

EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task.

Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts.

Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein

CoRR, 2020

Physics-informed GANs for Coastal Flood Visualization.

Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi

CoRR, 2020

2019

Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks.

Basil Kraft, Martin Jung, Marco Körner, Christian Requena-Mesa, José Cortés, Markus Reichstein

Frontiers Big Data, 2019

Predicting Landscapes from Environmental Conditions Using Generative Networks.

Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler

Proceedings of the Pattern Recognition, 2019

2018

Predicting Landscapes as Seen from Space from Environmental Conditions.

Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018