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Rodrigo Caye Daudt
Rodrigo Caye Daudt
Scientific assistant at ETH Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Fully convolutional siamese networks for change detection
RC Daudt, B Le Saux, A Boulch
2018 25th IEEE International Conference on Image Processing (ICIP), 4063-4067, 2018
9312018
Urban change detection for multispectral earth observation using convolutional neural networks
RC Daudt, B Le Saux, A Boulch, Y Gousseau
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
3682018
Multitask learning for large-scale semantic change detection
RC Daudt, B Le Saux, A Boulch, Y Gousseau
Computer Vision and Image Understanding 187, 102783, 2019
2302019
Guided anisotropic diffusion and iterative learning for weakly supervised change detection
RC Daudt, B Le Saux, A Boulch, Y Gousseau
Computer Vision and Pattern Recognition Workshops, 2019
232019
Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana
N Kalischek, N Lang, C Renier, RC Daudt, T Addoah, W Thompson, ...
Nature Food 4 (5), 384-393, 2023
17*2023
FiLM-ensemble: probabilistic deep learning via feature-wise linear modulation
MO Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, RC Daudt, ...
Advances in neural information processing systems 35, 22229-22242, 2022
162022
Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations
ED Hafner, P Barton, RC Daudt, JD Wegner, K Schindler, Y Bühler
The Cryosphere 16 (9), 3517-3530, 2022
152022
Snow depth estimation at country-scale with high spatial and temporal resolution
RC Daudt, H Wulf, ED Hafner, Y Bühler, K Schindler, JD Wegner
ISPRS Journal of Photogrammetry and Remote Sensing 197, 105-121, 2023
132023
Guided anisotropic diffusion and iterative learning for weakly supervised change detection
R Caye Daudt, B Le Saux, A Boulch, Y Gousseau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
132019
Weakly supervised change detection using guided anisotropic diffusion
RC Daudt, B Le Saux, A Boulch, Y Gousseau
Machine Learning 112 (6), 2211-2237, 2023
112023
Guided Depth Super-Resolution by Deep Anisotropic Diffusion
N Metzger*, RC Daudt*, K Schindler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Repurposing diffusion-based image generators for monocular depth estimation
B Ke, A Obukhov, S Huang, N Metzger, RC Daudt, K Schindler
arXiv preprint arXiv:2312.02145, 2023
92023
Fine-grained population mapping from coarse census counts and open geodata
N Metzger, JE Vargas-Muñoz, RC Daudt, B Kellenberger, TTT Whelan, ...
Scientific Reports 12 (1), 20085, 2022
92022
Learning to understand earth observation images with weak and unreliable ground truth
RC Daudt, A Chan-Hon-Tong, B Le Saux, A Boulch
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
72019
Mapping vulnerable populations with AI
B Kellenberger, JE Vargas-Muñoz, D Tuia, RC Daudt, K Schindler, ...
arXiv preprint arXiv:2107.14123, 2021
52021
Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice
ED Hafner, F Techel, RC Daudt, JD Wegner, K Schindler, Y Bühler
Natural hazards and earth system sciences 23 (8), 2895-2914, 2023
42023
Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring
J Baumer, N Metzger, ED Hafner, RC Daudt, JD Wegner, K Schindler
2023 10th IEEE Swiss Conference on Data Science (SDS), 77-84, 2023
22023
BiasBed - Rigorous Texture Bias Evaluation
N Kalischek, RC Daudt, T Peters, R Furrer, JD Wegner, K Schindler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Fine-grained population mapping using coarse census data and satellite imagery
JE Vargas-Munoz, N Metzger, RC Daudt, B Kellenberger, TTT Whelan, ...
22022
Convolutional neural networks for change analysis in earth observation images with noisy labels and domain shifts
RC Daudt
Institut Polytechnique de Paris, 2020
22020
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Articles 1–20