- Efficient 3-D Scene Analysis from Streaming Data
Hanzhang Hu, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2013.
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- Efficient Temporal Consistency for Streaming Video Scene Analysis
Ondrej Miksik, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2013.
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- Co-inference for Multi-modal Scene Analysis
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
European Conference on Computer Vision (ECCV), October, 2012.
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- Efficient 3-D Scene Analysis from Streaming Data
Hanzhang Hu, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-12-29, Robotics Institute, Carnegie Mellon University, September, 2012
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pdf (2MB) | Copyrighted
- Efficient Temporal Consistency for Streaming Video Scene Analysis
Ondrej Miksik, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-12-30, Robotics Institute, Carnegie Mellon University, September, 2012
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pdf (1MB) | Copyrighted
- Learning Message-Passing Inference Machines for Structured Prediction
Stephane Ross, Daniel Munoz, Martial Hebert, and J. Andrew (Drew) Bagnell
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011.
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- 3-D Scene Analysis via Sequenced Predictions over Points and Regions
Xuehan Xiong, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2011.
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- Stacked Hierarchical Labeling
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
European Conference on Computer Vision (ECCV), September, 2010.
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- On Two Methods for Semi-Supervised Structured Prediction
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-10-02, Robotics Institute, Carnegie Mellon University, January, 2010
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- Contextual Classification with Functional Max-Margin Markov Networks
Daniel Munoz, J. Andrew (Drew) Bagnell, Nicolas Vandapel, and Martial Hebert
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June, 2009.
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- Onboard Contextual Classification of 3-D Point Clouds with Learned High-order Markov Random Fields
Daniel Munoz, Nicolas Vandapel, and Martial Hebert
IEEE International Conference on Robotics and Automation, May, 2009.
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- Directional Associative Markov Network for 3-D Point Cloud Classification
Daniel Munoz, Nicolas Vandapel, and Martial Hebert
International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), June, 2008.
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pdf (7MB) | Copyrighted
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