533 citations · 1k across the 30 of their papers we have counts for
6 papers · 1 filter
Contextually Guided Semantic Labeling and Search for 3D Point Clouds
Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims +1
RGB-D cameras, which give an RGB image to- gether with depths, are becoming increasingly popular for robotic perception. In this paper, we address the task of detecting commonly fo…
Unstructured Human Activity Detection from RGBD Images
Jaeyong Sung, Colin Ponce, Bart Selman +1
Being able to detect and recognize human activities is essential for several applications, including personal assistive robotics. In this paper, we perform detection and recognitio…
Labeling 3D scenes for Personal Assistant Robots
Hema Swetha Koppula, Abhishek Anand, Thorsten Joachims +1
Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper, we…
Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons
Daniel L. Ly, Ashutosh Saxena, Hod Lipson
We present a method for estimating pose information from a single depth image given an arbitrary kinematic structure without prior training. For an arbitrary skeleton and depth ima…
Inferring 3D Articulated Models for Box Packaging Robot
Heran Yang, Tiffany Low, Matthew Cong +1
Given a point cloud, we consider inferring kinematic models of 3D articulated objects such as boxes for the purpose of manipulating them. While previous work has shown how to extra…
Learning to Place New Objects
Yun Jiang, Changxi Zheng, Marcus Lim +1
The ability to place objects in the environment is an important skill for a personal robot. An object should not only be placed stably, but should also be placed in its preferred l…