Youssef Tamaazousti

According to our database, Youssef Tamaazousti authored at least 17 papers between 2016 and 2021.

Collaborative distances:

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

2021

Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units.

Sara Meftah, Nasredine Semmar, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat

CoRR, 2021

2020

Learning More Universal Representations for Transfer-Learning.

Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Where Is The Fake? Patch-Wise Supervised Gans For Texture Inpainting.

Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He

Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-Task Supervised Pretraining for Neural Domain Adaptation.

Sara Meftah, Nasredine Semmar, Mohamed-Ayoub Tahiri, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat

Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019

Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis ).

Sara Meftah, Nasredine Semmar, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat

Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts, 2019

Deep Multi-class Adversarial Specularity Removal.

John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging.

Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How to Make a Pizza: Learning a Compositional Layer-Based GAN Model.

Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Finer-class Networks for Universal Representations.

Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Vision-language integration using constrained local semantic features.

Youssef Tamaazousti, Hervé Le Borgne, Adrian Popescu, Etienne Gadeski, Alexandru-Lucian Gînsca, Céline Hudelot

Comput. Vis. Image Underst., 2017

AMECON: Abstract Meta-Concept Features for Text-Illustration.

Ines Chami, Youssef Tamaazousti, Hervé Le Borgne

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features.

Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Désambiguïsation d'entités nommées par apprentissage de modèles d'entités à large échelle.

Hani Daher, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Anne-Laure Daquo, Youssef Tamaazousti

Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

Supervised Learning of Entity Disambiguation Models by Negative Sample Selection.

Hani Daher, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Anne-Laure Daquo, Youssef Tamaazousti

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016

Diverse Concept-Level Features for Multi-Object Classification.

Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Constrained Local Enhancement of Semantic Features by Content-Based Sparsity.

Youssef Tamaazousti, Hervé Le Borgne, Adrian Popescu

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Image Annotation and Two Paths to Text Illustration.

Hervé Le Borgne, Etienne Gadeski, Ines Chami, Thi Quynh Nhi Tran, Youssef Tamaazousti, Alexandru-Lucian Gînsca, Adrian Popescu

Proceedings of the Working Notes of CLEF 2016, 2016