Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Multi-class Adversarial Specularity Removal.

J. Lin, M. Seddik, M. Tamaazousti, Y. Tamaazousti, and A. Bartoli. SCIA, volume 11482 of Lecture Notes in Computer Science, page 3-15. Springer, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Youssef Shawky Youssef Sherief

Youssef Dennaoui

Youssef Chahadi

Adel Youssef

Youssef Azzi

Other publications of authors with the same name

Multi-Task Supervised Pretraining for Neural Domain Adaptation.S. Meftah, N. Semmar, M. Tahiri, Y. Tamaazousti, H. Essafi, and F. Sadat. SocialNLP@ACL, page 61-71. Association for Computational Linguistics, (2020)AMECON: Abstract Meta-Concept Features for Text-Illustration.I. Chami, Y. Tamaazousti, and H. Borgne. ICMR, page 347-355. ACM, (2017)Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting.A. Saad, Y. Tamaazousti, J. Kherroubi, and A. He. CoRR, (2019)Constrained Local Enhancement of Semantic Features by Content-Based Sparsity.Y. Tamaazousti, H. Borgne, and A. Popescu. ICMR, page 119-126. ACM, (2016)How to Make a Pizza: Learning a Compositional Layer-Based GAN Model.D. Papadopoulos, Y. Tamaazousti, F. Ofli, I. Weber, and A. Torralba. CVPR, page 8002-8011. Computer Vision Foundation / IEEE, (2019)Deep Multi-class Adversarial Specularity Removal.J. Lin, M. Seddik, M. Tamaazousti, Y. Tamaazousti, and A. Bartoli. SCIA, volume 11482 of Lecture Notes in Computer Science, page 3-15. Springer, (2019)Where Is The Fake? Patch-Wise Supervised Gans For Texture Inpainting.A. Saad, Y. Tamaazousti, J. Kherroubi, and A. He. ICIP, page 568-572. IEEE, (2020)Learning More Universal Representations for Transfer-Learning.Y. Tamaazousti, H. Borgne, C. Hudelot, M. Seddik, and M. Tamaazousti. IEEE Trans. Pattern Anal. Mach. Intell., 42 (9): 2212-2224 (2020)Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units.S. Meftah, N. Semmar, Y. Tamaazousti, H. Essafi, and F. Sadat. CoRR, (2021)Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging.S. Meftah, Y. Tamaazousti, N. Semmar, H. Essafi, and F. Sadat. NAACL-HLT (1), page 4107-4112. Association for Computational Linguistics, (2019)

BibSonomy

Disambiguation of "Tamaazousti, Youssef"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Multi-class Adversarial Specularity Removal.

Please choose a person to relate this publication to

Youssef Shawky Youssef Sherief

Youssef Dennaoui

Youssef Chahadi

Adel Youssef

Youssef Azzi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tamaazousti, Youssef"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Multi-class Adversarial Specularity Removal.

Please choose a person to relate this publication to

Youssef Shawky Youssef Sherief

Youssef Dennaoui

Youssef Chahadi

Adel Youssef

Youssef Azzi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Multi-class Adversarial Specularity Removal.