World's Best Scientists 2026 revealed!
Marie-Paule Cani

Marie-Paule Cani

Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
10762
World Ranking
4607
National Ranking
90

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2013 - Member of Academia Europaea

Overview

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:

  • Computer Graphics Forum
  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • ACM Transactions on Graphics
  • Computers & Graphics

Marie-Paule Cani has coauthored extensively with several researchers, including:

  • Damien Rohmer (12 joint publications)
  • Guillaume Cordonnier (8 joint publications)
  • Amal Dev Parakkat (7 joint publications)
  • Pooran Memari (7 joint publications)
  • Vicky Kalogeiton (7 joint publications)

Their recent publications demonstrate a focus on image processing, computer graphics, and 3D modeling. Notable papers include:

  • "AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results," 2020, published in arXiv (Cornell University)
  • "Forming Terrains by Glacial Erosion," 2023, published in ACM Transactions on Graphics
  • "Delaunay Painting: Perceptual Image Colouring from Raster Contours with Gaps," 2022, published in Computer Graphics Forum
  • "Fashion Transfer: Dressing 3D Characters from Stylized Fashion Sketches," 2021, published in Computer Graphics Forum
  • "Generating Upper-Body Motion for Real-Time Characters Making their Way through Dynamic Environments," 2022, published in Computer Graphics Forum

In recognition of their academic contributions, Marie-Paule Cani was named a Member of Academia Europaea in 2013.

Best Publications

  • Collision Detection for Deformable Objects

    M. Teschner;S. Kimmerle;B. Heidelberger;G. Zachmann

  • Dynamic real-time deformations using space & time adaptive sampling

    Gilles Debunne;Mathieu Desbrun;Marie-Paule Cani;Alan H. Barr

  • Super-helices for predicting the dynamics of natural hair

    Florence Bertails;Basile Audoly;Marie-Paule Cani;Bernard Querleux

  • A Survey on Hair Modeling: Styling, Simulation, and Rendering

    K. Ward;F. Bertails;Tae-Yong Kim;S.R. Marschner

  • Animating soft substances with implicit surfaces

    Mathieu Desbrun;Marie-Paule Gascuel

  • Virtual Garments: A Fully Geometric Approach for Clothing Design

    Philippe Decaudin;Dan Julius;Jamie Wither;Laurence Boissieux

  • Robust iso-surface tracking for interactive character skinning

    Rodolphe Vaillant;Gäel Guennebaud;Loïc Barthe;Brian Wyvill

  • Interactive animation of ocean waves

    Damien Hinsinger;Fabrice Neyret;Marie-Paule Cani

  • Animating lava flows

    Dan Stora;Pierre-Olivier Agliati;Marie-Paule Cani;Fabrice Neyret

  • Real-time collision detection for virtual surgery

    J.-C. Lombardo;M.-P. Cani;F. Neyret

  • Animation of deformable models using implicit surfaces

    M. Cani-Gascuel;M. Desbrun

  • Controlling Anisotropy in Mass-Spring Systems

    David Bourguignon;Marie-Paule Cani

  • Hierarchical pattern mapping

    Cyril Soler;Marie-Paule Cani;Alexis Angelidis

  • A Sketch-Based Interface for Clothing Virtual Characters

    E. Turquin;J. Wither;L. Boissieux;M.-P. Cani

  • Pattern-based texturing revisited

    Fabrice Neyret;Marie-Paule Cani

  • Design preserving garment transfer

    Remi Brouet;Alla Sheffer;Laurence Boissieux;Marie-Paule Cani

  • Practical Volumetric Sculpting

    Eric Ferley;Marie-Paule Cani;Jean-Dominique Gascuel

  • Implicit skinning: real-time skin deformation with contact modeling

    Rodolphe Vaillant;Loïc Barthe;Gaël Guennebaud;Marie-Paule Cani

  • Interactive multiresolution animation of deformable models

    Gilles Debunne;Mathieu Desbrun;Alan H. Barr;Marie-Paule Cani

  • Developable surfaces from arbitrary sketched boundaries

    Kenneth Rose;Alla Sheffer;Jamie Wither;Marie-Paule Cani

Frequent Co-Authors

Mathieu Desbrun
Mathieu Desbrun California Institute of Technology
Fabrice Neyret
Fabrice Neyret French Institute for Research in Computer Science and Automation - INRIA
Alla Sheffer
Alla Sheffer University of British Columbia
Steve Marschner
Steve Marschner Cornell University
Ming C. Lin
Ming C. Lin University of Maryland, College Park
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA
Bedrich Benes
Bedrich Benes Purdue University West Lafayette
Matthias Teschner
Matthias Teschner University of Freiburg
Karan Singh
Karan Singh University of Toronto
Jean Braun
Jean Braun University of Potsdam

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

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.

Best Scientists Citing Marie-Paule Cani

Trending Scientists

Recently Published Articles