Related references
Note: Only part of the references are listed.Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Congcong Li et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Learning to place new objects in a scene
Yun Jiang et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2012)
Co-evolutionary Predictors for Kinematic Pose Inference from RGBD Images
Daniel L. Ly et al.
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (2012)
Classification and Semantic Mapping of Urban Environments
B. Douillard et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
A probabilistic framework for object search with 6-DOF pose estimation
Jeremy Ma et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
A framework for visual-context-aware object detection in still images
Roland Perko et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2010)
Make3D: Learning 3D Scene Structure from a Single Still Image
Ashutosh Saxena et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Cutting-plane training of structural SVMs
Thorsten Joachims et al.
MACHINE LEARNING (2009)
Towards 3D Point cloud based object maps for household environments
Radu Bogdan Rusu et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2008)
3-d depth reconstruction from a single still image
Ashutosh Saxena et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2008)
Natural terrain classification using three-dimensional ladar data for ground robot mobility
Jean-Francois Lalonde et al.
JOURNAL OF FIELD ROBOTICS (2006)
Efficient discriminant viewpoint selection for active Bayesian recognition
Catherine Laporte et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2006)
Contextual priming for object detection
A Torralba
INTERNATIONAL JOURNAL OF COMPUTER VISION (2003)
Information theoretic sensor data selection for active object recognition and, state estimation
J Denzler et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)
Share Paper
