Etienne David
Etienne David
Research Engineer, Institut National de Recherche Agronomique; Arvalis
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Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...
International conference on machine learning, 5637-5664, 2021
Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ...
Plant Phenomics 2020, 3521852, 2020
Extending the wilds benchmark for unsupervised adaptation
S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ...
arXiv preprint arXiv:2112.05090, 2021
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods
E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics, 2021
SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
M Serouart, S Madec, E David, K Velumani, RL Lozano, M Weiss, F Baret
Plant Phenomics, 2022
Plant detection and counting from high-resolution RGB images acquired from UAVs: comparison between deep-learning and handcrafted methods with application to maize, sugar beet …
E David, G Daubige, F Joudelat, P Burger, A Comar, B de Solan, F Baret
bioRxiv, 2021.04. 27.441631, 2021
VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation
S Madec, K Irfan, K Velumani, F Baret, E David, G Daubige, LB Samatan, ...
Scientific Data 10 (1), 302, 2023
The P2S2 segmentation dataset: annotated in-field multi-crop RGB images acquired under various conditions
S Madec, K Irfan, E David, K Velumani, G Daubige, J Labrosse, W Guo, ...
7th International Workshop on Image Analysis Methods in the Plant Sciences …, 2019
Global wheat head detection challenges: Winning models and application for head counting
E David, F Ogidi, D Smith, S Chapman, B de Solan, W Guo, F Baret, ...
Plant Phenomics 5, 0059, 2023
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series
E David, J Bellot, SL Corff
arXiv preprint arXiv:2202.03224, 2022
Greenhouse Modules and Regenerative Life-Support Systems for Space
L Poulet, D Schubert, C Zeidler, P Zabel, V Maiwald, E David, C Paillé
AIAA SPACE 2013 Conference and Exposition, 5398, 2013
Identifiability of discrete input–output hidden Markov models with external signals
E David, J Bellot, S Le Corff, L Lehéricy
Statistics and Computing 34 (1), 54, 2024
Domain adaptation for plant organ detection with style transfer
C James, Y Gu, S Chapman, W Guo, E David, S Madec, A Potgieter, ...
2021 Digital Image Computing: Techniques and Applications (DICTA), 1-9, 2021
From prototype to inference: A pipeline to apply deep learning in sorghum panicle detection
C James, Y Gu, A Potgieter, E David, S Madec, W Guo, F Baret, ...
Plant Phenomics 5, 0017, 2023
The challenge of robust trait estimates with Deep Learning on high resolution RGB images
E David
Université d'Avignon, 2021
Wilds: A benchmark of in-the-wild distribution shifts
H Marklund, SM Xie, M Zhang, A Balsubramani, W Hu, M Yasunaga, ...
arXiv preprint arXiv:2012.07421, 2020
A dictionary-based approach to reduce noise in fluorescent microscopy images
L Nasser, P Coronado, E David, T Boudier
2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP …, 2017
Time series forecasting models applied on large datasets with inclusion of external signals
E David
Institut Polytechnique de Paris, 2024
Le gorille, le ver de terre, la pieuvre, la blatte… et Miquel Barceló
E David
Esquisses-Revue d'esthétique en ligne, 2023
Variational quantization for state space models
E David, J Bellot, S Le Corff
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