2.1k citations · 2.3k across the 13 of their papers we have counts for
3 papers · 1 filter
Object-Centric Multi-View Aggregation
Shubham Tulsiani, Or Litany, Charles R. Qi +2
We present an approach for aggregating a sparse set of views of an object in order to compute a semi-implicit 3D representation in the form of a volumetric feature grid. Key to our…
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie, Jiatao Gu, Demi Guo +3
Arguably one of the top success stories of deep learning is transfer learning. The finding that pre-training a network on a rich source set (eg., ImageNet) can help boost performan…
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
Charles R. Qi, Xinlei Chen, Or Litany +1
3D object detection has seen quick progress thanks to advances in deep learning on point clouds. A few recent works have even shown state-of-the-art performance with just point clo…