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» Computing Visual Attention from Scene Depth
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ICCV
2009
IEEE
14 years 10 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang
CVPR
2011
IEEE
14 years 8 months ago
Object Stereo - Joint Stereo Matching and Object Segmentation
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Da...
CVPR
2012
IEEE
13 years 3 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
98
Voted
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
15 years 7 months ago
Trajectory recovery and 3D mapping from rotation-compensated imagery for an airship
— On this paper, inertial orientation measurements are exploited to compensate the rotational degrees of freedom for an aerial vehicle carrying a perspective camera, taking a seq...
Luiz G. B. Mirisola, Jorge Dias, Anibal T. de Alme...
112
Voted
IJCNN
2006
IEEE
15 years 6 months ago
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina
— Our paper presents a fully automated computational mechanism for targeting a space-variant retina based on the highlevel visual content of a scene. Our retina’s receptive fie...
Sanjeeva Balasuriya, Paul Siebert