I am assistant professor of Computer Science at the Ensimag (School of Computer Science and Applied Mathematics, INP Grenoble University), and a researcher at the
INRIA Grenoble Rhône-Alpes, France, with the Morpheo team since 2011.
I obtained my PhD from the Institut National Polytechnique de Grenoble in 2005 with the INRIA MOVI team. I started my professional career as a postdoctoral research assistant at the University of North Carolina's Computer Vision Group in 2006, and as assistant professor at the University of Bordeaux, with the IPARLA team, INRIA Bordeaux Sud-Ouest. My expertise and interest is in the field of computer vision, dynamic 3D modeling and 4D spatio-temporal modeling from multiple views, 3D interaction.
Full CV available.
CVPR 2017 paper accepted: Surface Motion Capture Transfer with Gaussian Process Regression
Adnane Boukhayma, Jean-Sébastien Franco, Edmond Boyer
ECCV 2016 paper accepted: Estimation of Human Body Shape in Motion with Wide Clothing
Jinlong Yang, Jean-Sébastien Franco, Franck Hétroy-Wheeler, Stefanie Wuhrer
ECCV 2016 paper accepted: Eigen Appearance Maps of Dynamic Shapes
Adnane Boukhayma, Vagia Tsiminaki, Jean-Sébastien Franco, Edmond Boyer
CVPR 2016 paper accepted (spotlight oral): Volumetric 3D Tracking by Detection
Paul Huang, Benjamin Allain, Jean-Sebastien Franco, Nassir Navab, Slobodan Ilic, Edmond Boyer
CVPR 2015 paper accepted (oral): An Efficient Volumetric Framework for Shape Tracking
Benjamin Allain, Jean-Sébastien Franco, Edmond Boyer
Delegation since September 2015: awarded 2-year delegation teaching exemption grant for pursuit of research
QuickCSG, our new boolean computation software, released.
4D Temporal Alignment and Shape Tracking
Tracking Under Clothing
Volume Tracking by Detection
Volumetric Shape Tracking
Deformable Shape Analysis
Mean Pose and Non-rigid Motion Detection
Temporal Non-Rigid Segmentation
N-Tuple Color Multi-View Segmentation
Space-Time Multi-View Segmentation
Temporal Appearance Representations and Superresolution
High Resolution 3D Shape Texture from Multiple Videos
Fast Booleans on Meshes
QuickCSG: Fast Variadic Polyhedral Booleans
Efficient Silhouette-based Modeling
EPVH - Polyhedral Visual Hulls
Visual Shapes of Silhouette Sets
Probabilistic Occupancy Analysis
Multi-View Silhouette Fusion
3D Occlusion Inference from Silhouette Cues
Surface Flow from Visual Cues
Probabilistic 3D Occupancy Flow
Interactive Vision Systems
3D Telepresence with Multi-Camera Systems
GrImage: Mixed Reality Interaction
We are releasing binaries of our new software,
QuickCSG, which can compute visual hulls as well as arbitrary boolean combinations on N polyhedral solids. Current tests on our 68-camera Kinovis platform show that QuickCSG outperforms our previous visual hull computation software EPVH by a factor of 20x on 40 cameras or more. Our experimental tests also show that QuickCSG significantly outperforms all currently known available boolean CSG codes in terms of speed on two or more inputs. A publication is currently submitted for review but a preliminary version is available as research report.
EPVH is one of the projects developed during my thesis. I receive a number of requests for providing the code or binary. I can no longer distribute either, as EPVH is now exclusively distributed by 4DViews, and built-in 4DViews software suites. If you have datasets on which you would like to perform comparisons with EPVH for research purposes, I can process them and provide the resulting data for static objects or sequences. However, you are encouraged to use QuickCSG instead, which significantly outperforms EPVH.