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Ahmed Elhayek

2 accepted papers

2020

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map

CVPR 2020poster

3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. The state-of-the-art methods directly regress 3D hand meshes from 2D depth images via 2D convolutional neural networks, which leads to artefacts in the estimations due t…

Cited by 93PDFScholar
2015

Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras

CVPR 2015poster

We present a novel method for accurate marker-less capture of articulated skeleton motion of several subjects in general scenes, indoors and outdoors, even from input filmed with as few as two cameras. Our approach unites a discriminative image-based joint detection method with a model-based generat…

Cited by 192SourcePDFScholar