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» Learning to Recognize Objects from Unseen Modalities
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ICCV
2007
IEEE
14 years 8 months ago
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
Thanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed...
Alexander Thomas, Vittorio Ferrari, Bastian Leibe,...
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
14 years 12 days ago
Recognizing texture and hardness by touch
Abstract— We have experimented with different neural network based architectures for bio-inspired self-organizing texture and hardness perception systems. To this end we have dev...
Magnus Johnsson, Christian Balkenius
ICCV
2009
IEEE
14 years 11 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
14 years 19 days ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
CVPR
2010
IEEE
13 years 11 months ago
Recognizing Human Actions from Still Images with Latent Poses
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will h...
Weilong Yang, Yang Wang, Greg Mori