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ORCIDYoussef Tamaazousti
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2020 – today
- 2021
[i7]Sara Meftah, Nasredine Semmar, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat:
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units. CoRR abs/2106.04935 (2021)- 2020
- [j2]Youssef Tamaazousti
, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2212-2224 (2020) - [c14]Sara Meftah, Nasredine Semmar, Mohamed-Ayoub Tahiri, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat:
Multi-Task Supervised Pretraining for Neural Domain Adaptation. SocialNLP@ACL 2020: 61-71 - [c13]Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He:
Where Is The Fake? Patch-Wise Supervised Gans For Texture Inpainting. ICIP 2020: 568-572
2010 – 2019
- 2019
- [c12]Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. CVPR 2019: 8002-8011 - [c11]Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat:
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging. NAACL-HLT (1) 2019: 4107-4112 - [c10]John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli:
Deep Multi-class Adversarial Specularity Removal. SCIA 2019: 3-15 - [c9]Sara Meftah, Nasredine Semmar, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat:
Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis ). PFIA (Articles courts) 2019: 293-302 - [i6]John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli:
Deep Multi-class Adversarial Specularity Removal. CoRR abs/1904.02672 (2019) - [i5]Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat:
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging. CoRR abs/1904.03595 (2019) - [i4]Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to make a pizza: Learning a compositional layer-based GAN model. CoRR abs/1906.02839 (2019) - [i3]Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He:
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting. CoRR abs/1911.02274 (2019) - 2018
- [c8]Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. BMVC 2018: 274 - [i2]Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. CoRR abs/1810.02126 (2018) - 2017
- [j1]Youssef Tamaazousti, Hervé Le Borgne, Adrian Popescu, Etienne Gadeski, Alexandru-Lucian Gînsca, Céline Hudelot:
Vision-language integration using constrained local semantic features. Comput. Vis. Image Underst. 163: 41-57 (2017) - [c7]Hani Daher, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Anne-Laure Daquo, Youssef Tamaazousti:
Supervised Learning of Entity Disambiguation Models by Negative Sample Selection. CICLing (1) 2017: 329-341 - [c6]Hani Daher, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Anne-Laure Daquo, Youssef Tamaazousti:
Désambiguïsation d'entités nommées par apprentissage de modèles d'entités à large échelle. CORIA 2017: 185-200 - [c5]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features. CVPR 2017: 5282-5291 - [c4]Ines Chami, Youssef Tamaazousti, Hervé Le Borgne:
AMECON: Abstract Meta-Concept Features for Text-Illustration. ICMR 2017: 347-355 - [i1]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. CoRR abs/1712.09708 (2017) - 2016
- [c3]Hervé Le Borgne, Etienne Gadeski, Ines Chami, Thi Quynh Nhi Tran, Youssef Tamaazousti, Alexandru-Lucian Gînsca, Adrian Popescu:
Image Annotation and Two Paths to Text Illustration. CLEF (Working Notes) 2016: 322-333 - [c2]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Diverse Concept-Level Features for Multi-Object Classification. ICMR 2016: 63-70 - [c1]Youssef Tamaazousti, Hervé Le Borgne, Adrian Popescu:
Constrained Local Enhancement of Semantic Features by Content-Based Sparsity. ICMR 2016: 119-126
Coauthor Index
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