Youssef Tamaazousti
Youssef Tamaazousti
Senior Data-Scientist, G42
Verified email at g42.ai - Homepage
Title
Cited by
Cited by
Year
Learning More Universal Representations for Transfer-Learning
Y Tamaazousti, HL Borgne, C Hudelot, MEA Seddik, M Tamaazousti
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
382019
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
Y Tamaazousti, H Le Borgne, C Hudelot
IEEE Computer Vision and Pattern Recognition (CVPR), 2017
152017
AMECON: Abstract Meta-Concept Features for Text-Illustration
I Chami, Y Tamaazousti, H Le Borgne
ACM International Conference on Multimedia Retrieval (ICMR), 2017
112017
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model
DP Papadopoulos, Y Tamaazousti, F Ofli, I Weber, A Torralba
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
102019
Constrained Local Enhancement of Semantic Features by Content-Based Sparsity
Y Tamaazousti, H Le Borgne, A Popescu
ACM International Conference on Multimedia Retrieval (ICMR), 2016
102016
Diverse Concept-Level Features for Multi-Object Classification
Y Tamaazousti, H Le Borgne, C Hudelot
ACM International Conference on Multimedia Retrieval (ICMR), 2016
102016
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
S Meftah, Y Tamaazousti, N Semmar, H Essafi, F Sadat
North American Chapter of ACL: Human Language Technologies (NAACL-HLT), 2019
92019
Vision-Language Integration using Constrained Local Semantic Features
Y Tamaazousti, H Le Borgne, A Popescu, E Gadeski, A Ginsca, C Hudelot
Journal of Computer Vision and Image Understanding (CVIU), 2017
92017
On The Universality of Visual and Multimodal Representations
Y Tamaazousti
Ph.D. Thesis - CentraleSupélec (University of Paris-Saclay), 2018
62018
Deep Multi-class Adversarial Specularity Removal
J Lin, M El Amine Seddik, M Tamaazousti, Y Tamaazousti, A Bartoli
Scandinavian Conference on Image Analysis (SCIA), 2019
42019
Supervised Learning of Entity Disambiguation Models by Negative Sample Selection
H Daher, R Besançon, O Ferret, H Le Borgne, AL Daquo, Y Tamaazousti
International Conference on Computational Linguistics and Intelligent Text …, 2017
42017
Image Annotation and Two Paths to Text Illustration
H Le Borgne, E Gadeski, I Chami, TQN Tran, Y Tamaazousti, AL Ginsca, ...
ImageCLEF 2016 Evaluation Labs and Workshop, Online Working Notes, 2016
42016
Learning Finer-class Networks for Universal Representations
J Girard, Y Tamaazousti, HL Borgne, C Hudelot
British Machine Vision Conference (BMVC), 2018
32018
Agrégation de descripteurs sémantiques locaux contraints par parcimonie basée sur le contenu
Y Tamaazousti, H Le Borgne, A Popescu
Reconnaissance des formes et intelligence artificielle (RFIA), 2016
32016
Multi-Task Supervised Pretraining for Neural Domain Adaptation
S Meftah, N Semmar, MA Tahiri, Y Tamaazousti, H Essafi, S Fatiha
SocialNLP@ACL, 2020
22020
Désambiguïsation d’entités nommées par apprentissage de modèles d’entités à large échelle
H Daher, R Besançon, O Ferret, H Le Borgne, AL Daquo, Y Tamaazousti
CORIA, 2017
22017
Descripteurs à divers niveaux de concepts pour la classification d’images multi-objets
Y Tamaazousti, H Le Borgne, C Hudelot
Reconnaissance des formes et intelligence artificielle (RFIA), 2016
22016
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting
A Ben Saad, Y Tamaazousti, J Kherroubi, A He
IEEE International Conference on Image Processing (ICIP), 2020
12020
Apprentissage mixte de neurones pré-entraînés et aléatoires dans un modèle neuronal pour l’adaptation au domaine
S Meftah, N Semmar, Y Tamaazousti, H Essafi, F Sadat
1
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets
S Meftah, N Semmar, Y Tamaazousti, H Essafi, F Sadat
Proceedings of the Second Workshop on Domain Adaptation for NLP, 140-145, 2021
2021
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Articles 1–20