Rodrigo Caye Daudt

Orcid: 0000-0002-4952-9736

According to our database1, Rodrigo Caye Daudt authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Recognition of Unseen Bird Species by Learning from Field Guides.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Weakly supervised change detection using guided anisotropic diffusion.
Mach. Learn., June, 2023

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.
CoRR, 2023

Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution.
CoRR, 2023

High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2.
CoRR, 2023

Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

Guided Depth Super-Resolution by Deep Anisotropic Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BiasBed - Rigorous Texture Bias Evaluation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
HRSCD - High Resolution Semantic Change Detection Dataset.
Dataset, December, 2022

Fine-grained Population Mapping from Coarse Census Counts and Open Geodata.
CoRR, 2022

Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana.
CoRR, 2022

Zero-Shot Bird Species Recognition by Learning from Field Guides.
CoRR, 2022

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery.
Remote. Sens., 2021

Weakly Supervised Change Detection Using Guided Anisotropic Difusion.
CoRR, 2021

Mapping Vulnerable Populations with AI.
CoRR, 2021

2020
OSCD - Onera Satellite Change Detection.
Dataset, June, 2020

Convolutional neural networks for change analysis in earth observation images with noisy labels and domain shifts. (Réseaux de neurones convolutifs pour l'analyse de changements en imagerie de télédétection avec des annotations bruitées et des décalages de domaine).
PhD thesis, 2020

2019
Multitask learning for large-scale semantic change detection.
Comput. Vis. Image Underst., 2019

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
High Resolution Semantic Change Detection.
CoRR, 2018

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Fully Convolutional Siamese Networks for Change Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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