Since 2020 Postdoc in the STORM team (IRIT)

Formation

2016 – 2019 PhD in Computer Sciences (Université Grenoble Alpes)
Reverse-Engineering Fashion Products : From a single-view Sketch to a 3D Model,
supervised by Stefanie Hahmann and Damien Rohmer.
[ Thesis ]

2013 – 2016 Engineering degree (eq. MSc) from Ensimag (Grenoble INP)
path Mathematical Modeling, Image and Simulations

2015 Exchange student at University of Calgary (Canada, AB)
graduate courses in Computer Graphics

2011-2013 French CPGE (Lycée Louis Barthou, Pau)
path Mathematics and Physics

Publications

Peer reviewed journal articles

• Patterns from Photograph: Reverse-Engineering Developable Products.
  Amélie Fondevilla, Adrien Bousseau, Damien Rohmer, Stefanie Hahmann, Marie-Paule Cani.
  in : Computers and Graphics. Special Issue on SMI 2017 66 (Aug. 2017), pp. 4–13. doi : 10.1016/j.cag.2017.05.017.
  [ Paper ]

Conference papers

• Modeling Symmetric Developable Surfaces from a Single Photo.
  Amélie Fondevilla, Adrien Bousseau, Damien Rohmer, Stefanie Hahmann, Marie-Paule Cani.
  in: Journées Françaises d’Informatique Graphique. Grenoble, France, Nov. 2016, best paper award.
  [ Paper ]

• Interactive procedural simulation of paper tearing with sound.
  Thibault Lejemble, Amélie Fondevilla, Nicolas Durin, Thibault Blanc-Beyne, Camille Schreck, Pierre-Luc Manteaux, Paul G. Kry, Marie-Paule Cani.
  in : 8th ACM SIGGRAPH Conference on Motion in Games, MIG ’15. Paris, France: ACM, Nov. 2015, pp. 143–149. doi : 10.1145/2822013.2822029.
  [ Paper ]

• SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding.
  Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski.
  in : The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. June 2019.
  [ Paper ]

Poster communications

• Towards developable products from a sketch.
  Amélie Fondevilla, Adrien Bousseau, Damien Rohmer, Stefanie Hahmann, Marie-Paule Cani.
  in : EUROGRAPHICS Poster Proceedings. Poster.Apr. 2017.
  [ Paper ]

Research activities

Conferences and journals

• Reviewer for CGF 2021, and ISMAR 2020.

• Organization of the CVPR 2019 Workshop “Deep Learning for Geometric Shape Understanding”.
  Member of the technical comitee, organisation of the challenge

Team life

• Organization of PhD meetings (2018 – 2019).
  Progress discussions, and technical presentations - Imagine team (Inria/UGA)

• Reading group : Deep Learning for Computer Graphics (2017 – 2018)
  Organization, bi-monthly meetings

Teaching

At Université Toulouse III (Paul Sabatier)

• Computer Science (TP), 14h – 2020, L1 INF
• Computer Science – Support courses (TD), 6h – 2020, L1 INF
• Computer Animation (TP), 4h – 2020, M2 INF-IGAI
• Computer Graphics (TP), 8h – 2021, L3 INF
• Data Structures (TP), 14h – 2021, L2 INF

A l’Ensimag (Grenoble INP)

• 2D Geometric Modeling (TD/TP), 16h – 2016, 2018, 2019, 2A (eq. M1)
• Algorithms and Data Structures (TD), 18h – 2017, 2018, 1A (eq. L3)
• Computer Graphics (TP), 18h – 2018, 2A (eq. M1)
• Image Processing (TP), 13h – 2017, 2018, 2A (eq. M1)
• Scilab/LaTeX (TP), 18h – 2016, 2017, 1A (eq. L3)

Interests

Academic

• Sketch-based modeling/animation,
• Geometric modeling,
• Digital painting,
• Differential geometry.

Personal

• Traditional and digital painting,
• Paintings and other plastic arts,
• Animation movies,
• Artistic Gymnastics,
• Cooking (and eating).

Compétences Informatique

• C++ (OpenGL), C
• Python, Matlab
• git (basis), LaTeX