1 code implementation • 19 Jul 2018 • Siddharth Mahendran, Ming Yang Lu, Haider Ali, René Vidal
We consider the task of estimating the 3D orientation of an object of known category given an image of the object and a bounding box around it.
1 code implementation • 8 May 2018 • Siddharth Mahendran, Haider Ali, Rene Vidal
Since 3D pose is a continuous quantity, a natural formulation for this task is to solve a pose regression problem.
no code implementations • 20 Nov 2017 • Siddharth Mahendran, Haider Ali, Rene Vidal
In this paper, we relax one of these constraints and propose to solve the task of joint object category and 3D pose estimation from an image assuming known 2D localization.
no code implementations • 18 Aug 2017 • Siddharth Mahendran, Haider Ali, Rene Vidal
3D pose estimation is a key component of many important computer vision tasks such as autonomous navigation and 3D scene understanding.
no code implementations • 21 Dec 2015 • Siddharth Mahendran, René Vidal
Image segmentation and 3D pose estimation are two key cogs in any algorithm for scene understanding.
no code implementations • CVPR 2014 • Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed
We show that the collected data can be used to study the relation between part detection and attribute prediction by diagnosing the performance of classifiers that pool information from different parts of an object.