27 citations · 49 across the 7 of their papers we have counts for
4 papers · 1 filter
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
We describe a data-driven method for inferring the camera viewpoints given multiple images of an arbitrary object. This task is a core component of classic geometric pipelines such…
Virtual View Networks for Object Reconstruction
João Carreira, Abhishek Kar, Shubham Tulsiani +1
All that structure from motion algorithms "see" are sets of 2D points. We show that these impoverished views of the world can be faked for the purpose of reconstructing objects in…
Category-Specific Object Reconstruction from a Single Image
Abhishek Kar, Shubham Tulsiani, João Carreira +1
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…
Viewpoints and Keypoints
Shubham Tulsiani, Jitendra Malik
We characterize the problem of pose estimation for rigid objects in terms of determining viewpoint to explain coarse pose and keypoint prediction to capture the finer details. We a…