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 001 (CLEF (Working Notes), 2016)

Constrained Local Enhancement of Semantic Features by Content-Based Sparsity. - Youssef Tamaazousti; Hervé Le Borgne; Adrian Popescu 001 (ICMR, 2016)

Diverse Concept-Level Features for Multi-Object Classification. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (ICMR, 2016)

Supervised Learning of Entity Disambiguation Models by Negative Sample Selection. - Hani Daher; Romaric Besançon; Olivier Ferret; Hervé Le Borgne; Anne-Laure Daquo; Youssef Tamaazousti (CICLing (1), 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 (CORIA, 2017)

MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (CVPR, 2017)

AMECON: Abstract Meta-Concept Features for Text-Illustration. - Ines Chami; Youssef Tamaazousti; Hervé Le Borgne (ICMR, 2017)

Vision-language integration using constrained local semantic features. - Youssef Tamaazousti; Hervé Le Borgne; Adrian Popescu 001; Etienne Gadeski; Alexandru-Lucian Gînsca; Céline Hudelot (Comput. Vis. Image Underst., 2017)

Learning Finer-class Networks for Universal Representations. - Julien Girard; Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (BMVC, 2018)

How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. - Dim P. Papadopoulos; Youssef Tamaazousti; Ferda Ofli; Ingmar Weber; Antonio Torralba 001 (CVPR, 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 (NAACL-HLT (1), 2019)

Deep Multi-class Adversarial Specularity Removal. - John Lin; Mohamed El Amine Seddik; Mohamed Tamaazousti; Youssef Tamaazousti; Adrien Bartoli (SCIA, 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 (PFIA (Articles courts), 2019)

Multi-Task Supervised Pretraining for Neural Domain Adaptation. - Sara Meftah; Nasredine Semmar; Mohamed-Ayoub Tahiri; Youssef Tamaazousti; Hassane Essafi; Fatiha Sadat (SocialNLP@ACL, 2020)

Where Is The Fake? Patch-Wise Supervised Gans For Texture Inpainting. - Ahmed Ben Saad; Youssef Tamaazousti; Josselin Kherroubi; Alexis He (ICIP, 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)

Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units. - Sara Meftah; Nasredine Semmar; Youssef Tamaazousti; Hassane Essafi; Fatiha Sadat (CoRR, 2021)