2 citations · 2 across the 1 of their papers we have counts for
5 papers
Field Convolutions for Surface CNNs
Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan
We present a novel surface convolution operator acting on vector fields that is based on a simple observation: instead of combining neighboring features with respect to a single co…
Efficient Spatially Adaptive Convolution and Correlation
Thomas W. Mitchel, Benedict Brown, David Koller +3
Fast methods for convolution and correlation underlie a variety of applications in computer vision and graphics, including efficient filtering, analysis, and simulation. However, s…
Quotienting Impertinent Camera Kinematics for 3D Video Stabilization
Thomas W. Mitchel, Christian Wuelker, Jin Seob Kim +2
With the recent advent of methods that allow for real-time computation, dense 3D flows have become a viable basis for fast camera motion estimation. Most importantly, dense flows a…
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm
Thomas W. Mitchel, Sipu Ruan, Gregory S. Chirikjian
The general ability to analyze and classify the 3D kinematics of the human form is an essential step in the development of socially adept humanoid robots. A variety of different ty…
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences
Thomas Mitchel, Sipu Ruan, Yixin Gao +1
Signal alignment has become a popular problem in robotics due in part to its fundamental role in action recognition. Currently, the most successful algorithms for signal alignment…