Paul Vernaza

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 12

Top Topics

Semantic Segmentation

Top Venues

Publications

Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza
Towards Uniformly Superhuman Autonomy via Subdominance Minimization. ICML (2022)
Paul Vernaza, Manmohan Chandraker
Learning random-walk label propagation for weakly-supervised semantic segmentation. CoRR (2018)
Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. CoRR (2018)
Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. ECCV (15) (2018)
Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. ECCV (13) (2018)
Paul Vernaza, Manmohan Chandraker
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. CVPR (2017)
Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
Deep Network Flow for Multi-Object Tracking. CoRR (2017)
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Krishna Chandraker
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CoRR (2017)
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CVPR (2017)
Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
Deep Network Flow for Multi-object Tracking. CVPR (2017)
Paul Vernaza
Variational reaction-diffusion systems for semantic segmentation. CoRR (2016)
Paul Vernaza, David Guttendorf, Michael Wagner, Philip Koopman
Learning product set models of fault triggers in high-dimensional software interfaces. IROS (2015)
Paul Vernaza, Anthony Stentz
Learning to locate from demonstrated searches. Robotics: Science and Systems (2014)
Venkatraman Narayanan, Paul Vernaza, Maxim Likhachev, Steven M. LaValle
Planning under topological constraints using beam-graphs. ICRA (2013)
Dmitry S. Yershov, Paul Vernaza, Steven M. LaValle
Continuous planning with winding constraints using optimal heuristic-driven front propagation. ICRA (2013)
Paul Vernaza, Daniel D. Lee
Learning and exploiting low-dimensional structure for efficient holonomic motion planning in high-dimensional spaces. Int. J. Robotics Res. 31 (14) (2012)
Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev
Efficiently finding optimal winding-constrained loops in the plane. Robotics: Science and Systems (2012)
Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev
Efficiently Finding Optimal Winding-Constrained Loops in the Plane: Extended Abstract. SOCS (2012)
Paul Vernaza, Drew Bagnell
Efficient high dimensional maximum entropy modeling via symmetric partition functions. NIPS (2012)
Paul Vernaza, Daniel D. Lee
Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. ICRA (2011)
Paul Vernaza, Daniel D. Lee
Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. AAAI (2011)
Paul Vernaza, Daniel D. Lee
Learning Dimensional Descent planning for a highly-articulated robot arm. IROS (2011)
Paul Vernaza, Daniel D. Lee
Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. ICRA (2010)
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
Learning and planning high-dimensional physical trajectories via structured Lagrangians. ICRA (2010)
Paul Vernaza, Maxim Likhachev, Subhrajit Bhattacharya, Sachin Chitta, Aleksandr Kushleyev, Daniel D. Lee
Search-based planning for a legged robot over rough terrain. ICRA (2009)
Jonathan Bohren, Tully Foote, Jim Keller, Alex Kushleyev, Daniel D. Lee, Alex Stewart, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Brian Satterfield
Little Ben: The Ben Franklin Racing Team's Entry in the 2007 DARPA Urban Challenge. The DARPA Urban Challenge (2009)
Jonathan Bohren, Tully Foote, Jim Keller, Alex Kushleyev, Daniel D. Lee, Alex Stewart, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Brian Satterfield
Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge. J. Field Robotics 25 (9) (2008)
Paul Vernaza, Ben Taskar, Daniel D. Lee
Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA (2008)
Paul Vernaza, Daniel D. Lee
Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. ICRA (2006)
Paul Vernaza, Daniel D. Lee
Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation. ISER (2006)
Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee
Cooperative relative robot localization with audible acoustic sensing. IROS (2005)