Youssef Tamaazousti
Youssef Tamaazousti
Data-Science Manager, G42
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Multi-Task Supervised Pretraining for Neural Domain Adaptation
S Meftah, N Semmar, MA Tahiri, Y Tamaazousti, H Essafi, S Fatiha
SocialNLP Workshop at ACL, 2020
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
AMECON: Abstract Meta-Concept Features for Text-Illustration
I Chami, Y Tamaazousti, H Le Borgne
ACM International Conference on Multimedia Retrieval (ICMR), 2017
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
Diverse Concept-Level Features for Multi-Object Classification
Y Tamaazousti, H Le Borgne, C Hudelot
ACM International Conference on Multimedia Retrieval (ICMR), 2016
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
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
On The Universality of Visual and Multimodal Representations
Y Tamaazousti
Ph.D. Thesis - CentraleSupélec (University of Paris-Saclay), 2018
Automated identification and quantification of rock types from drill cuttings
Y Tamaazousti, M François, J Kherroubi
SEG Technical Program Expanded Abstracts 2020, 1591-1595, 2020
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
Learning Finer-class Networks for Universal Representations
J Girard, Y Tamaazousti, HL Borgne, C Hudelot
British Machine Vision Conference (BMVC), 2018
SmartHSE: Comprehensive AI-Based Safety Monitoring Solution for Work-Sites
Y Tamaazousti, D Egorov, A Benzine, U Asif, M Amri, A Benaichouche
Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC), 2022
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
Cuttings imaging for determining geological properties
M Francois, Y Tamaazousti, J Kherroubi
US Patent 11,443,149, 2022
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
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
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