Modeling the 3D world from sensor data for simulation is a scalable way ...
Building instance detection models that are data efficient and can handl...
3D object detection is a key module for safety-critical robotics applica...
We address the problem of recovering the shape and spatially-varying
ref...
While current 3D object recognition research mostly focuses on the real-...
We propose an unsupervised capsule architecture for 3D point clouds. We
...
We present a method that takes as input a set of images of a scene
illum...
Efficient representation of articulated objects such as human bodies is ...
Any solid object can be decomposed into a collection of convex polytopes...
Any solid object can be decomposed into a collection of convex polytopes...
To generalize to novel visual scenes with new viewpoints and new object
...
Convolutional neural networks have gained a remarkable success in comput...
The quest for performant networks has been a significant force that driv...
Convolutional neural networks (CNNs) have been generally acknowledged as...
This paper introduces the system we developed for the Youtube-8M Video
U...