• David Tschumperlé

  • - Research scientist in computer sciences/image processing working at the CNRS Institute.
  • - Head of the IMAGE team at the GREYC laboratory, Caen / France.
  • - Head/Main developer of the open-source projects CImg and G'MIC.

  • Address : GREYC (UMR-CNRS 6072), IMAGE team, 6 Bd du Maréchal Juin, 14050 Caen Cedex / France.
  • Tel : +33 (0) 2.31.45.29.25
  • Fax : +33 (0) 2.31.45.26.98
  • E-mail :
  • Detailed CV : French, .pdf
GREYC CNRS ENSICAEN UNICAEN G'MIC G'MIC

Current students
Anaïs Gastineau
(February 2022 - July 2024, Post-doc)

I'm co-supervising the post-doc of Anaïs, with Julien Rabin and Loïc Simon on the use of dictionnary learning methods for neural networks.

Clément Hardy
(October 2021 - September 2024, PhD thesis)

I'm co-supervising the PhD thesis of Clément, with Yvain Quéau, on 3D photography and video using multiple lightings.

Benjamin Samuth
(October 2021 - September 2024, PhD thesis)

I'm co-supervising the PhD thesis of Benjamin, with Julien Rabin, on the explainability of neural network for realistic image generation.

Thibault Durand
(September 2019 - August 2022, PhD thesis)

I'm co-supervising the PhD thesis of Thibault, with Julien Rabin, on light and controlable architecture of neural networks for image super-resolution, deblurring and denoising.

Former students

Since 2004, I've supervised the work of PhD students, postdocs and master students.

Maxime Daisy
(October 2011 - December 2015, PhD thesis)

I've co-supervised (80%) with Olivier Lézoray the work of Maxime for his PhD thesis, on image inpainting methods to generate virtual stereoscopic points of view.

Maxime defended his PhD on 12/02/2015, and got the highest mention.

Pierre Buyssens
(October 2013 - October 2015, Post-doc)

I've co-supervised with Olivier Lézoray the work of Pierre during his two years postdoc, on inpainting methods for depth-maps.

Haz-Edine Assemlal
(October 2007 - January 2010, PhD thesis)

I've co-supervised (80%) with Luc Brun the work of Haz-Edine for his PhD thesis, on efficient and robust computation of PDF features from diffusion MR signal.

Haz-Edine defended his PhD on 01/11/2010, and got the highest mention.



Copyrights
Copyrights (C) From September 2017, David Tschumperlé - GREYC UMR CNRS 6072, Image team.