Yannick Le Cacheux

Yannick Le Cacheux

Doctorant
Équipe : Données Complexes, Apprentissage et Représentations
Site web : https://www.linkedin.com/in/lecacheux/

2021

Chapitres d'ouvrage

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Zero-shot Learning with Deep Neural Networks for Object Recognition. In Multi-faceted Deep Learning: Models and Data, Springer, 2021. doi  www 

2020

Articles de conférence

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. In ECCV 2020 workshop Transferring and adapting source knowledge in computer vision (TASK-CV), Glasgow, United Kingdom, 2020. www 
  1. Le Cacheux, Y.; Popescu, A. and Borgne, H. Le Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning. In 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 -- December 4, 2020, Revised Selected Papers,, pages 514-531, Springer International Publishing, Kyoto, Japan, Lecture Notes in Computer Science 12627, 2020. doi  www 

2019

Chapitres d'ouvrage

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process. In MultiMedia Modeling. 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8--11, 2019, Proceedings, Part II, pages 465-477, Springer Verlag, Lecture Notes in Computer Science 11296, 2019. doi  www 

Articles de conférence

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. In IEEE International Conference on Computer Vision, IEEE, Séoul, South Korea, 2019. doi  www