Titouan Lorieul

发表

Categorizing plant images at the variety level: Did you say fine-grained?

Pierre Bonnet, Alexis Joly, Julien Champ, 2016, Pattern Recognit. Lett..

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

Elizabeth R. Ellwood, J. Sachs, P. Soltis, 2019, Applications in plant sciences.

Customized e-floras: How to develop your own project on the Pl@ntNet platform

Titouan Lorieul, P. Bonnet, Alexis Joly, 2021, Biodiversity Information Science and Standards.

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

Alexis Joly, Hervé Goëau, Laura Brenskelle, 2020, Bioscience.

A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015

Maximilien Servajean, Alexis Joly, Julien Champ, 2015, CLEF.

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data

Maximilien Servajean, Titouan Lorieul, P. Bonnet, 2022, CLEF.

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

Hervé Glotin, Stefan Kahl, Henning Müller, 2021, CLEF.

Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks

Maximilien Servajean, Titouan Lorieul, P. Bonnet, 2022, CLEF.

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)

Christophe Botella, Maximilien Servajean, Pierre Bonnet, 2020, Conference and Labs of the Evaluation Forum.

Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest

Titouan Lorieul, P. Bonnet, P. Heuret, 2022, Plants.

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution

J. Salmon, Maximilien Servajean, Titouan Lorieul, 2021, NeurIPS Datasets and Benchmarks.

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction

Stefan Kahl, Henning Müller, Christophe Botella, 2020, CLEF.

Multi-Label Learning from Single Positive Labels

Nebojsa Jojic, Pietro Perona, Dan Morris, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Set-valued classification - overview via a unified framework pdf

Evgenii Chzhen, Mohamed Hebiri, Titouan Lorieul, 2021, ArXiv.

Classification Under Ambiguity: When Is Average-K Better Than Top-K? pdf

Alexis Joly, Titouan Lorieul, Dennis Shasha, 2021, ArXiv.

Predicting species distributions in the open ocean with convolutional neural networks

Titouan Lorieul, T. Rouyer, Gaétan Morand, 2024, bioRxiv.

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

H. Glotin, Maximilien Servajean, Titouan Lorieul, 2022, ECIR.

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data

Maximilien Servajean, Titouan Lorieul, P. Bonnet, 2022, CLEF.

The GeoLifeCLEF 2020 Dataset pdf

Christophe Botella, Maximilien Servajean, Dan Morris, 2020, ArXiv.

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

Maximilien Servajean, Titouan Lorieul, P. Bonnet, 2022, CLEF.

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images

Maximilien Servajean, Alexis Joly, Pierre Bonnet, 2021, CLEF.

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)

Maximilien Servajean, Titouan Lorieul, P. Bonnet, 2020, CLEF.