Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

Understanding 3D object structure from a single image is an important but difficult task in
computer vision, mostly due to the lack of 3D object annotations in real images. Previous …

Object reconstruction from a single image--in the wild--is a problem where we can make
progress and get meaningful results today. This is the main message of this paper, which …

We address the problem of populating object category detection datasets with dense, per-
object 3D reconstructions, bootstrapped from class labels, ground truth figure-ground …

3D morphable models are low-dimensional parameterizations of 3D object classes which
provide a powerful means of associating 3D geometry to 2D images. However, morphable …

Traditional approaches for learning 3D object categories use either synthetic data or manual
supervision. In this paper, we propose a method which does not require manual annotations …

We address the problem of fully automatic object localization and reconstruction from a
single image. This is both a very challenging and very important problem which has, until …

Shape control of deformable objects is a challenging and important robotic problem. This
article proposes a model-free controller using novel 3-D global deformation features based …

Modern structure from motion (SfM) remains dependent on point features to recover camera
positions, meaning that reconstruction is severely hampered in low-texture environments, for …

Category-specific 3D object shape models have greatly boosted the recent advances in
object detection, recognition and segmentation. However, even the most advanced …