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133
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SIBGRAPI
2006
IEEE
15 years 6 months ago
Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection
Sharp discontinuities in depth, or depth edges, are very important low-level features for scene understanding. Recently, we have proposed a solution to the depth edge detection pr...
Rogerio Feris, Matthew Turk, Ramesh Raskar
138
Voted
IJRR
2011
218views more  IJRR 2011»
14 years 7 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
112
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MHCI
2009
Springer
15 years 7 months ago
Fixed in time and "time in motion": mobility of vision through a SenseCam lens
SenseCam is an automatic wearable camera, often seen as a tool for the creation of digital memories. In this paper, we report findings from a field trial in which SenseCams were w...
Siân E. Lindley, Richard H. R. Harper, David...
ICML
2009
IEEE
16 years 1 months ago
Learning nonlinear dynamic models
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
John Langford, Ruslan Salakhutdinov, Tong Zhang
114
Voted
CVPR
2009
IEEE
16 years 8 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...