Thomas Serre is a researcher affiliated with Brown University in the United States. Their work primarily spans the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, cognitive neuroscience, biophysics, and ecology, evolution, behavior, and systematics.
The scientist's research topics include visual attention and saliency detection, cell image analysis techniques, neural dynamics and brain function, visual perception and processing mechanisms, explainable artificial intelligence (XAI), machine learning in materials science, and domain adaptation and few-shot learning.
Among the recent papers authored by Thomas Serre are:
Thomas Serre frequently collaborates with several coauthors including Drew Linsley, Thomas Fel, Rémi Cadène, Lakshmi Narasimhan Govindarajan, and Alekh Karkada Ashok.
Their publications appear regularly in various venues such as arXiv (Cornell University), Journal of Vision, bioRxiv (Cold Spring Harbor Laboratory), the 2022 Conference on Cognitive Computational Neuroscience, and the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
H. Kuehne;H. Jhuang;E. Garrote;T. Poggio
T. Serre;L. Wolf;S. Bileschi;M. Riesenhuber
T. Serre;L. Wolf;T. Poggio
Thomas Serre;Aude Oliva;Tomaso Poggio
H. Jhuang;T. Serre;L. Wolf;T. Poggio
Hilde Kuehne;Ali Arslan;Thomas Serre
T. Serre;M. Kouh;C. Cadieu;U. Knoblich
Leila Reddy;Leila Reddy;Leila Reddy;Naotsugu Tsuchiya;Naotsugu Tsuchiya;Thomas Serre;Thomas Serre
Bernd Heisele;Bernd Heisele;Thomas Serre;Sam Prentice;Tomaso A. Poggio
Huei-Han Jhuang;Estibaliz Garrote;Xinlin Yu;Vinita Khilnani
Thomas Serre;Gabriel Kreiman;Minjoon Kouh;Charles Cadieu
B. Heiselet;T. Serre;M. Pontil;T. Poggio
Bernd Heisele;Thomas Serre;T. Poggio
Sharat Chikkerur;Thomas Serre;Cheston Tan;Tomaso Poggio
Thomas Serre
Ying Zhang;Ethan M. Meyers;Narcisse Pascal Bichot;Thomas R. Serre
Hilde Kuehne;Juergen Gall;Thomas Serre
Bernd Heisele;Thomas Serre;Massimiliano Pontil;Thomas Vetter
Thomas Serre;Maximilian Riesenhuber
Peter Wilf;Shengping Zhang;Shengping Zhang;Sharat Chikkerur;Stefan A. Little;Stefan A. Little
Drew Linsley;Junkyung Kim;Vijay Veerabadran;Thomas Serre
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees opens up a variety of career opportunities beyond traditional computer science programs. Today’s students can choose from innovative and affordable options that align with evolving job market demands.
For those interested in data, analytics, and artificial intelligence, pursuing one of the best data science masters programs online can be a strategic step. These programs blend technical and analytical skills sought by tech employers worldwide.
If you are looking to advance in the construction or real estate sectors, consider an online construction management program. Such programs are designed for working professionals, focusing on project planning, budgeting, and leadership.
For business-minded students, the cheapest mba programs deliver strong value, providing strategic business knowledge and leadership skills at a reduced cost.
Time is also a critical factor. Students seeking a fast track to career advancement can explore 1 year online masters programs that offer rigorous education in a condensed format.
Choosing the right online degree can help students specialize, accelerate their learning, and enter high-demand fields with confidence.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 40
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 29
Zagazig University
Luleå University of Technology
Institute for Bioengineering of Catalonia
KU Leuven
Princeton University
University of Kentucky
Jet Propulsion Lab
Universidade de São Paulo
Paul Ehrlich Institut
The Ohio State University
University of Freiburg
Pohang University of Science and Technology
Shandong University
University of Granada
Harvard University
Boston Children's Hospital
