Paul Vernaza

According to our database, Paul Vernaza authored at least 26 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Towards Uniformly Superhuman Autonomy via Subdominance Minimization.

Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza

Proceedings of the International Conference on Machine Learning, 2022

2018

r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting.

Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza

Proceedings of the Computer Vision - ECCV 2018, 2018

Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences.

Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation.

Paul Vernaza, Manmohan Chandraker

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Network Flow for Multi-object Tracking.

Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents.

Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Variational reaction-diffusion systems for semantic segmentation.

Paul Vernaza

CoRR, 2016

2015

Learning product set models of fault triggers in high-dimensional software interfaces.

Paul Vernaza, David Guttendorf, Michael Wagner, Philip Koopman

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Learning to locate from demonstrated searches.

Paul Vernaza, Anthony Stentz

Proceedings of the Robotics: Science and Systems X, 2014

2013

Continuous planning with winding constraints using optimal heuristic-driven front propagation.

Dmitry S. Yershov, Paul Vernaza, Steven M. LaValle

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Planning under topological constraints using beam-graphs.

Venkatraman Narayanan, Paul Vernaza, Maxim Likhachev, Steven M. LaValle

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Learning and exploiting low-dimensional structure for efficient holonomic motion planning in high-dimensional spaces.

Paul Vernaza, Daniel D. Lee

Int. J. Robotics Res., 2012

Efficiently Finding Optimal Winding-Constrained Loops in the Plane: Extended Abstract.

Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev

Proceedings of the Fifth Annual Symposium on Combinatorial Search, 2012

Efficiently finding optimal winding-constrained loops in the plane.

Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev

Proceedings of the Robotics: Science and Systems VIII, 2012

Efficient high dimensional maximum entropy modeling via symmetric partition functions.

Paul Vernaza, Drew Bagnell

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Learning Dimensional Descent planning for a highly-articulated robot arm.

Paul Vernaza, Daniel D. Lee

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries.

Paul Vernaza, Daniel D. Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces.

Paul Vernaza, Daniel D. Lee

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Learning and planning high-dimensional physical trajectories via structured Lagrangians.

Paul Vernaza, Daniel D. Lee, Seung-Joon Yi

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields.

Paul Vernaza, Daniel D. Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Search-based planning for a legged robot over rough terrain.

Paul Vernaza, Maxim Likhachev, Subhrajit Bhattacharya, Sachin Chitta, Aleksandr Kushleyev, Daniel D. Lee

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge.

Jonathan Bohren, Tully Foote, Jim Keller, Alex Kushleyev, Daniel D. Lee, Alex Stewart, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Brian Satterfield

J. Field Robotics, 2008

Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields.

Paul Vernaza, Ben Taskar, Daniel D. Lee

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation.

Paul Vernaza, Daniel D. Lee

Proceedings of the Experimental Robotics, 2006

Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors.

Paul Vernaza, Daniel D. Lee

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005

Cooperative relative robot localization with audible acoustic sensing.

Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005