1.5k citations · 1.5k across the 8 of their papers we have counts for
3 papers · 1 filter
The Boombox: Visual Reconstruction from Acoustic Vibrations
Boyuan Chen, Mia Chiquier, Hod Lipson +1
Interacting with bins and containers is a fundamental task in robotics, making state estimation of the objects inside the bin critical. While robots often use cameras for state est…
Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, Anh Nguyen +2
Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recogn…
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…