• 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
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.

Former students

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

Anaïs Gastineau
(February 2022 - April 2023, Post-doc)

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

Thibault Durand
(September 2019 - March 2023, PhD thesis)

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

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.