Nicolas Thome is affiliated with Sorbonne University in France. Their research contributions lie primarily within the field of Computer Science, with a focus on several related subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Statistical and Nonlinear Physics.
Their work encompasses a range of contemporary topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Image Retrieval and Classification Techniques, and Generative Adversarial Networks and Image Synthesis.
Thome has published extensively in well-known venues. These frequent publication channels include:
Collaborations feature prominently in their research profile, with frequent co-authors including Clément Rambour, Matthieu Cord, Elias Ramzi, Nicolas Audebert, and Toby Collins, reflecting a network of partnerships in related research areas.
Recent papers authored or co-authored by Nicolas Thome include:
Hedi Ben-younes;Remi Cadene;Matthieu Cord;Nicolas Thome
Thibaut Durand;Taylor Mordan;Nicolas Thome;Matthieu Cord
Remi Cadene;Hedi Ben-younes;Matthieu Cord;Nicolas Thome
Sandra Avila;Nicolas Thome;Matthieu Cord;Eduardo Valle
Charles Corbière;Nicolas Thome;Avner Bar-Hen;Matthieu Cord
Hedi Ben-younes;Remi Cadene;Nicolas Thome;Matthieu Cord
Micael Carvalho;Rémi Cadène;David Picard;Laure Soulier
Xin Wang;Devinder Kumar;Nicolas Thome;Matthieu Cord
Thibaut Durand;Nicolas Thome;Matthieu Cord
Vincent Le Guen;Nicolas Thome
Olivier Petit;Nicolas Thome;Clement Rambour;Loic Themyr
N. Thome;S. Miguet;S. Ambellouis
Hanlin Goh;Nicolas Thome;Matthieu Cord;Joo-Hwee Lim
Rodrigo Minetto;Nicolas Thome;Matthieu Cord;Neucimar J. Leite
Marc T. Law;Nicolas Thome;Matthieu Cord
Vincent Le Guen;Nicolas Thome
S. Avila;N. Thome;M. Cord;E. Valle
Christian Theriault;Nicolas Thome;Matthieu Cord
Vincent Le Guen;Yuan Yin;Jérémie Dona;Ibrahim Ayed
C. Theriault;N. Thome;M. Cord
Nicolas Thome;Antoine Vacavant;Lionel Robinault;Serge Miguet
Charles Corbière;Nicolas Thome;Avner Bar-Hen;Matthieu Cord
Michael Blot;David Picard;Matthieu Cord;Nicolas Thome
Rodrigo Minetto;Nicolas Thome;Matthieu Cord;Neucimar J. Leite
R. Minetto;N. Thome;M. Cord;J. Fabrizio
If you think any of the details on this page are incorrect, let us know.
Exploring online education in computer science opens up several flexible paths and career opportunities. Students seeking accessible options may consider 2 year online degrees, which allow for a quicker entry into the tech workforce. For those aiming to advance their credentials, pursuing masters degrees that are worth it can lead to specialized roles and higher earning potential.
Cost and admission requirements are often major concerns. Thankfully, there are cheap online college classes that make earning a degree feasible without incurring heavy student debt. Additionally, students with a less competitive GPA can still pursue their ambitions thanks to a range of online colleges that accept low gpa.
Whether you’re seeking an associate’s, bachelor’s, or master’s degree, affordable and accessible online programs can help you launch or boost your tech career, no matter where you start.
California Institute of Technology
Lawrence Berkeley National Laboratory
Rosalind Franklin University of Medicine and Science
University of Alabama at Birmingham
University of Helsinki
Chapman University
University of Alberta
Kent State University
Icahn School of Medicine at Mount Sinai
Oregon Health & Science University
Dartmouth College
Imperial College London
University of Quebec at Montreal
Technical University of Berlin
Smithsonian Environmental Research Center
Imperial College London