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» Segmentation as Selective Search for Object Recognition
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PAMI
2011
13 years 2 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
WACV
2007
IEEE
14 years 1 months ago
Feature-based Part Retrieval for Interactive 3D Reassembly
We propose a novel framework for 3D reassembly, the task of assembling a solid object from its broken pieces. The primary challenge in this under-explored problem is to robustly e...
Devi Parikh, Rahul Sukthankar, Tsuhan Chen, Mei Ch...
CVPR
2006
IEEE
14 years 9 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
CIARP
2007
Springer
14 years 1 months ago
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot
In order to deploy mobile robots in social environments like indoor buildings, they need to be provided with perceptual abilities to detect people. In the computer vision literatur...
Stefan Pszczólkowski, Alvaro Soto
TIP
2008
142views more  TIP 2008»
13 years 7 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...