We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
From the last decade, modeling of cognitive agents have drawn great attention and provide a new paradigm for addressing fundamental questions in cognitive science. In this paper, a...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
In the past decade or so, semi-definite programming (SDP) has emerged as a powerful tool capable of handling a remarkably wide range of problems. This article describes an innovat...
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...