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Matthieu Armando
Affiliation
NAVER LABS Europe
Topic
3D Mesh,3D Scanning,3D Shape,Human Pose,Motion Capture,Point Cloud,Pose Estimation,2D Keypoints,3D Bounding Box,3D Geometry,3D Point,3D Pose,3D Reconstruction,3D Template,3D Texture,Appearance Information,Barycenter,Benchmark,Bilateral Filter,Binocular,Camera Pose,Camera Pose Estimation,Camera Viewpoint,Computer Vision,Convolutional Layers,Convolutional Network,Data-driven Methods,Denoising Methods,Depth Camera,Detailed 3D,Edge Weights,End Of The Network,Geometric Features,Geometry Features,Gesture Classification,Graph Convolution,Graph Convolutional Network,Ground Truth 3D,Hand Shape,Human Motion,Human Pose Estimation,Human-robot Collaboration,Image Features,Image Pairs,Inpainting,Input Graph,Input Image,Iterative Closest Point,Kinect V2,Large Datasets,
Biography
Matthieu Armando received the MSc degree in computer graphics, vision and imaging from the University College of London, U.K., in 2013, and the graduated degree from Supélec, in 2014. He is currently working towards the PhD degree at INRIA Grenoble, France, within the Morpheo team. His research interests include surface and appearance reconstruction from images and geometric deep learning.