2.9k citations · 4.3k across the 28 of their papers we have counts for
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Shape and Symmetry Induction for 3D Objects
Shubham Tulsiani, Abhishek Kar, Qixing Huang +2
Actions as simple as grasping an object or navigating around it require a rich understanding of that object's 3D shape from a given viewpoint. In this paper we repurpose powerful l…
Amodal Completion and Size Constancy in Natural Scenes
Abhishek Kar, Shubham Tulsiani, João Carreira +1
We consider the problem of enriching current object detection systems with veridical object sizes and relative depth estimates from a single image. There are several technical chal…
Human Pose Estimation with Iterative Error Feedback
Joao Carreira, Pulkit Agrawal, Katerina Fragkiadaki +1
Hierarchical feature extractors such as Convolutional Networks (ConvNets) have achieved impressive performance on a variety of classification tasks using purely feedforward process…
Learning to See by Moving
Pulkit Agrawal, Joao Carreira, Jitendra Malik
The dominant paradigm for feature learning in computer vision relies on training neural networks for the task of object recognition using millions of hand labelled images. Is it po…
Pose Induction for Novel Object Categories
Shubham Tulsiani, João Carreira, Jitendra Malik
We address the task of predicting pose for objects of unannotated object categories from a small seed set of annotated object classes. We present a generalized classifier that can…
Lifting Object Detection Datasets into 3D
Joao Carreira, Sara Vicente, Lourdes Agapito +1
While data has certainly taken the center stage in computer vision in recent years, it can still be difficult to obtain in certain scenarios. In particular, acquiring ground truth…