Marie-Paule Cani is affiliated with École Polytechnique in France and specializes in fields bridging computer science and engineering. Their research spans areas such as computer vision and pattern recognition, control and systems engineering, as well as computer graphics and computer-aided design.
Their scholarly output includes works on topics related to computer graphics and visualization techniques, human motion and animation, and 3D shape modeling and analysis. Other significant subjects in their research portfolio include human pose and action recognition, video analysis and summarization, evacuation and crowd dynamics, and advanced image processing techniques.
Frequent publication venues for their work are diverse and include:
Marie-Paule Cani has coauthored extensively with several researchers, including:
Their recent publications demonstrate a focus on image processing, computer graphics, and 3D modeling. Notable papers include:
In recognition of their academic contributions, Marie-Paule Cani was named a Member of Academia Europaea in 2013.
M. Teschner;S. Kimmerle;B. Heidelberger;G. Zachmann
Gilles Debunne;Mathieu Desbrun;Marie-Paule Cani;Alan H. Barr
Florence Bertails;Basile Audoly;Marie-Paule Cani;Bernard Querleux
K. Ward;F. Bertails;Tae-Yong Kim;S.R. Marschner
Mathieu Desbrun;Marie-Paule Gascuel
Philippe Decaudin;Dan Julius;Jamie Wither;Laurence Boissieux
Rodolphe Vaillant;Gäel Guennebaud;Loïc Barthe;Brian Wyvill
Damien Hinsinger;Fabrice Neyret;Marie-Paule Cani
Dan Stora;Pierre-Olivier Agliati;Marie-Paule Cani;Fabrice Neyret
J.-C. Lombardo;M.-P. Cani;F. Neyret
M. Cani-Gascuel;M. Desbrun
David Bourguignon;Marie-Paule Cani
Cyril Soler;Marie-Paule Cani;Alexis Angelidis
E. Turquin;J. Wither;L. Boissieux;M.-P. Cani
Fabrice Neyret;Marie-Paule Cani
Remi Brouet;Alla Sheffer;Laurence Boissieux;Marie-Paule Cani
Eric Ferley;Marie-Paule Cani;Jean-Dominique Gascuel
Rodolphe Vaillant;Loïc Barthe;Gaël Guennebaud;Marie-Paule Cani
Gilles Debunne;Mathieu Desbrun;Alan H. Barr;Marie-Paule Cani
Kenneth Rose;Alla Sheffer;Jamie Wither;Marie-Paule Cani
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees can open doors to flexible education and lucrative career opportunities in computer science and related fields. Many students look for easy degrees that pay well, offering a balance between manageable workloads and high earning potential.
Specialized options such as AI and data science continue to grow in demand. If you’re interested in building expertise for the future, consider the best ai masters programs online, which blend convenience with top-tier curriculum and industry relevance.
Unsure which path to choose? Reviewing the best college degrees can help identify programs with strong job prospects and growth potential. Those looking for a quicker route to advancement may also be interested in the easiest masters degree options, which can accelerate career progression with less demanding study requirements.
Whether you’re seeking a fast track to employment or aiming for a specialized field, online degrees in computer science offer diverse and rewarding pathways.
The University of Texas at Austin
National Institutes of Health
University of Leeds
Federal Office of Meteorology and Climatology
Xi'an Jiaotong University
University of Glasgow
RAND Corporation
Loughborough University
Charité - University Medicine Berlin
Tehran University of Medical Sciences
Queen's University Belfast
ByteDance
University of Buenos Aires
New York University
Karolinska Institute
University of Alberta