192 citations · 204 across the 3 of their papers we have counts for
6 papers
SUPR: A Sparse Unified Part-Based Human Representation
Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas +1
Statistical 3D shape models of the head, hands, and fullbody are widely used in computer vision and graphics. Despite their wide use, we show that existing models of the head and h…
Training Generative Adversarial Networks for Optical Property Mapping using Synthetic Image Data
Ahmed Osman, Jane Crowley, George Gordon
We demonstrate training of a Generative Adversarial Network (GAN) for prediction of optical property maps (scattering and absorption) using spatial frequency domain imaging (SFDI)…
On Self-Contact and Human Pose
Lea Müller, Ahmed A. A. Osman, Siyu Tang +2
People touch their face 23 times an hour, they cross their arms and legs, put their hands on their hips, etc. While many images of people contain some form of self-contact, current…
STAR: Sparse Trained Articulated Human Body Regressor
Ahmed A. A. Osman, Timo Bolkart, Michael J. Black
The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and shape. While popular, we show that SMPL has several limitations and introduce ST…
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani +4
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To…
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal +5
We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same…