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27 papers · 1 filter
Printable Hydraulics: A Method for Fabricating Robots by 3D Co-Printing Solids and Liquids
Robert MacCurdy, Robert Katzschmann, Youbin Kim +1
This work introduces a novel technique for fabricating functional robots using 3D printers. Simultaneously depositing photopolymers and a non-curing liquid allows complex, pre-fill…
Learning Deep Features for Discriminative Localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza +2
In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network to have remarkable localiza…
Shape Expressions Schemas
Iovka Boneva, Jose E. Labra Gayo, Eric G. Prud'hommeaux +1
We present Shape Expressions (ShEx), an expressive schema language for RDF designed to provide a high-level, user friendly syntax with intuitive semantics. ShEx allows to describe…
Real-Time Depth Refinement for Specular Objects
Roy Or - El, Rom Hershkovitz, Aaron Wetzler +3
The introduction of consumer RGB-D scanners set off a major boost in 3D computer vision research. Yet, the precision of existing depth scanners is not accurate enough to recover fi…
Incremental Truncated LSTD
Clement Gehring, Yangchen Pan, Martha White
Balancing between computational efficiency and sample efficiency is an important goal in reinforcement learning. Temporal difference (TD) learning algorithms stochastically update…
Modeling Persistent Trends in Distributions
Jonas Mueller, Tommi Jaakkola, David Gifford
We present a nonparametric framework to model a short sequence of probability distributions that vary both due to underlying effects of sequential progression and confounding noise…