Maxime Daisy - Lecturer (ATER)

What's new ?

I am now a PhD

I defended my thesis the 2 of december. Now I am an assistant professor at GREYC laboratory and IUT Cherbourg-Manche, site of Saint-Lô.

Random publication

[ 5 ]  Maxime Daisy, Pierre Buyssens, David Tschumperlé, Olivier Lézoray,
A Smarter Exemplar-based Inpainting Algorithm Using Local and Global Heuristics for more Geometric Coherence , International Conference on Image Processing (ICIP) , pp. 4622-4626, 2014
Ranked one of the 10% best papers w.r.t. the reviewers scores and comments

Welcome aboard !

Who I am ?

Brand new PhD in computer science (image processing), I defended my thesis the 2 of december 2015 with great honors. In 2012, I obtained a master's degree from the University of Caen Normandy, and an engineering degree from the ENSICAEN, both in computer science.

I am totally passionate by everything related to graphics, animations, musics, sound and also by the web technologies. Also, I am very interested in astronomy (I cannot wait for the Planet 9 to be found !).

About my research

Example of my research results.
(hover the image to see the change).

My research works are globally turned toward computational photography and computer vision. Especially, I am interested in both image editing and synthesis. During my PhD I have worked on image and video inpainting applied to stereoscopic data with depth maps. This research was conducted within a French national project whose aim was to conceive solutions for virtual view synthesis in 3D movies theaters. First, we have enhanced the state-of-the-art greedy inpainting algorithm of Criminisi et al. by proposing a smarter way to search patches in the image together with a tensor-based data term that improves the way to order the image reconstruction. Then, we have proposed an artifact reduction method for image and video, that improves the results of any greedy inpainting algorithm by removing the block-effect they contain. To do so we proposed an isotropic method, and then improved the latter by creating an anisotropic tensor model to guide the blending process.

More explanations and results can be found on my research page.