Etienne David

According to our database, Etienne David authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Identifiability of discrete input-output hidden Markov models with external signals.

Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy

Stat. Comput., February, 2024

Variational quantization for state space models.

Etienne David, Jean Bellot, Sylvain Le Corff

CoRR, 2024

2023

HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series.

Etienne David, Jean Bellot, Sylvain Le Corff

Trans. Mach. Learn. Res., 2023

A new large dataset and a transfer learning methodology for plant phenotyping in Vertical Farms.

Nico Samà, Etienne David, Simone Rossetti, Alessandro Antona, Benjamin Franchetti, Fiora Pirri

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity.

Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadeghi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott C. Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo

CoRR, 2021

Global Wheat Challenge 2020: Analysis of the competition design and winning models.

Etienne David, Franklin Ogidi, Wei Guo, Frédéric Baret, Ian Stavness

CoRR, 2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

Domain Adaptation for Plant Organ Detection with Style Transfer.

Chrisbin James, Yanyang Gu, Scott C. Chapman, Wei Guo, Etienne David, Simon Madec, Andries B. Potgieter, Anders Eriksson

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

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.

Etienne David, Simon Madec, Pouria Sadeghi-Tehran, Helge Aasen, B. Zheng, Shouyang Liu, Norbert Kirchgeßner, Goro Ishikawa, Koichi Nagasawa, Minhajul A. Badhon, Curtis Pozniak, Benoit de Solan, Andreas Hund, Scott C. Chapman, Frédéric Baret, Ian Stavness, Wei Guo

CoRR, 2020