no code implementations • ICCV 2015 • Michele Fenzi, Laura Leal-Taixe, Jorn Ostermann, Tinne Tuytelaars
In this paper, we treat the problem of continuous pose estimation for object categories as a regression problem on the basis of only 2D training information.
no code implementations • CVPR 2013 • Michele Fenzi, Laura Leal-Taixe, Bodo Rosenhahn, Jorn Ostermann
In this paper, we propose a method for learning a class representation that can return a continuous value for the pose of an unknown class instance using only 2D data and weak 3D labelling information.