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» Object detection at multiple scales improves accuracy
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ICCV
2011
IEEE
13 years 10 months ago
N-best maximal decoders for part models
We describe a method for generating N-best configurations from part-based models, ensuring that they do not overlap according to some user-provided definition of overlap. We ext...
Dennis Park, Deva Ramanan
CVPR
2012
IEEE
13 years 11 days ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
TON
2008
125views more  TON 2008»
14 years 9 months ago
Two techniques for fast computation of constrained shortest paths
Abstract-- Computing constrained shortest paths is fundamental to some important network functions such as QoS routing, which is to find the cheapest path that satisfies certain co...
Shigang Chen, Meongchul Song, Sartaj Sahni
TVCG
2012
218views Hardware» more  TVCG 2012»
13 years 11 days ago
Flow-Based Local Optimization for Image-to-Geometry Projection
—The projection of a photographic dataset on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is...
Matteo Dellepiane, Ricardo Marroquim, Marco Callie...
CVPR
2010
IEEE
15 years 6 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...