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Paul Vernaza
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2020 – today
- 2022
- [c24]Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza:
Towards Uniformly Superhuman Autonomy via Subdominance Minimization. ICML 2022: 27654-27670
2010 – 2019
- 2018
- [c23]Nicholas Rhinehart
, Kris M. Kitani
r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. ECCV (13) 2018: 794-811 - [c22]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: 832-850 - [i5]Paul Vernaza, Manmohan Chandraker:
Learning random-walk label propagation for weakly-supervised semantic segmentation. CoRR abs/1802.00470 (2018) - [i4]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 abs/1803.07231 (2018) - 2017
- [c21]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: 2165-2174 - [c20]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-object Tracking. CVPR 2017: 2730-2739 - [c19]Paul Vernaza, Manmohan Chandraker:
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. CVPR 2017: 2953-2961 - [i3]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 abs/1704.04394 (2017) - [i2]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-Object Tracking. CoRR abs/1706.08482 (2017) - 2016
- [i1]Paul Vernaza:
Variational reaction-diffusion systems for semantic segmentation. CoRR abs/1604.00092 (2016) - 2015
- [c18]Paul Vernaza, David Guttendorf, Michael Wagner, Philip Koopman:
Learning product set models of fault triggers in high-dimensional software interfaces. IROS 2015: 3506-3511 - 2014
- [c17]Paul Vernaza, Anthony Stentz:
Learning to locate from demonstrated searches. Robotics: Science and Systems 2014 - 2013
- [c16]Venkatraman Narayanan, Paul Vernaza, Maxim Likhachev, Steven M. LaValle:
Planning under topological constraints using beam-graphs. ICRA 2013: 431-437 - [c15]Dmitry S. Yershov, Paul Vernaza, Steven M. LaValle:
Continuous planning with winding constraints using optimal heuristic-driven front propagation. ICRA 2013: 5551-5556 - 2012
- [j2]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): 1739-1760 (2012) - [c14]Paul Vernaza, Drew Bagnell:
Efficient high dimensional maximum entropy modeling via symmetric partition functions. NIPS 2012: 584-592 - [c13]Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev:
Efficiently finding optimal winding-constrained loops in the plane. Robotics: Science and Systems 2012 - [c12]Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev:
Efficiently Finding Optimal Winding-Constrained Loops in the Plane: Extended Abstract. SOCS 2012: 201-202 - 2011
- [c11]Paul Vernaza, Daniel D. Lee:
Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. AAAI 2011: 1126-1132 - [c10]Paul Vernaza, Daniel D. Lee:
Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. ICRA 2011: 6121-6127 - [c9]Paul Vernaza, Daniel D. Lee:
Learning Dimensional Descent planning for a highly-articulated robot arm. IROS 2011: 2186-2191 - 2010
- [c8]Paul Vernaza, Daniel D. Lee, Seung-Joon Yi:
Learning and planning high-dimensional physical trajectories via structured Lagrangians. ICRA 2010: 846-852 - [c7]Paul Vernaza, Daniel D. Lee:
Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. ICRA 2010: 3102-3107
2000 – 2009
- 2009
- [c6]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: 231-255 - [c5]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: 2380-2387 - 2008
- [j1]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): 598-614 (2008) - [c4]Paul Vernaza, Ben Taskar, Daniel D. Lee:
Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA 2008: 2750-2757 - 2006
- [c3]Paul Vernaza, Daniel D. Lee:
Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. ICRA 2006: 1571-1578 - [c2]Paul Vernaza, Daniel D. Lee:
Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation. ISER 2006: 101-110 - 2005
- [c1]Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee:
Cooperative relative robot localization with audible acoustic sensing. IROS 2005: 3764-3769
Coauthor Index
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