Titouan Lorieul

Orcid: 0000-0001-5228-9238

According to our database1, Titouan Lorieul authored at least 23 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MALPOLON: A Framework for Deep Species Distribution Modeling.
Proceedings of the 35th British Machine Vision Conference Workshop Proceedings, 2024

2023

2022
LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Can Artificial Intelligence help in the study of vegetative growth dynamics from herbarium collections? An evaluation of the tropical flora of the French Guiana forest.
Dataset, December, 2021


Classification Under Ambiguity: When Is Average-K Better Than Top-K?
CoRR, 2021

Set-valued classification - overview via a unified framework.
CoRR, 2021

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Multi-Label Learning From Single Positive Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
Uncertainty in predictions of deep learning models for fine-grained classification. (Incertitude des prédictions dans les modèles d'apprentissage profonds appliqués à la classification fine).
PhD thesis, 2020

The GeoLifeCLEF 2020 Dataset.
CoRR, 2020


Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF).
Proceedings of the Working Notes of CLEF 2020, 2020

2016
Categorizing plant images at the variety level: Did you say fine-grained?
Pattern Recognit. Lett., 2016

Static and dynamic autopsy of deep networks.
Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

2015
A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015.
Proceedings of the Working Notes of CLEF 2015, 2015


  Loading...