Cooperative relative robot localization with audible acoustic sensing. - Yuanqing Lin; Paul Vernaza; Jihun Ham; Daniel D. Lee (IROS, 2005)

Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. - Paul Vernaza; Daniel D. Lee (ICRA, 2006)

Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation. - Paul Vernaza; Daniel D. Lee (ISER, 2006)

Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. - Paul Vernaza; Ben Taskar; Daniel D. Lee (ICRA, 2008)

Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge. - Jonathan Bohren; Tully Foote; Jim Keller 002; Alex Kushleyev; Daniel D. Lee; Alex Stewart; Paul Vernaza; Jason C. Derenick; John R. Spletzer; Brian Satterfield (J. Field Robotics, 2008)

Search-based planning for a legged robot over rough terrain. - Paul Vernaza; Maxim Likhachev; Subhrajit Bhattacharya; Sachin Chitta; Aleksandr Kushleyev; Daniel D. Lee (ICRA, 2009)

Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. - Paul Vernaza; Daniel D. Lee (ICRA, 2010)

Learning and planning high-dimensional physical trajectories via structured Lagrangians. - Paul Vernaza; Daniel D. Lee; Seung-Joon Yi (ICRA, 2010)

Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. - Paul Vernaza; Daniel D. Lee (AAAI, 2011)

Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. - Paul Vernaza; Daniel D. Lee (ICRA, 2011)

Learning Dimensional Descent planning for a highly-articulated robot arm. - Paul Vernaza; Daniel D. Lee (IROS, 2011)

Efficient high dimensional maximum entropy modeling via symmetric partition functions. - Paul Vernaza; Drew Bagnell (NIPS, 2012)

Efficiently finding optimal winding-constrained loops in the plane. - Paul Vernaza; Venkatraman Narayanan; Maxim Likhachev (Robotics: Science and Systems, 2012)

Efficiently Finding Optimal Winding-Constrained Loops in the Plane: Extended Abstract. - Paul Vernaza; Venkatraman Narayanan; Maxim Likhachev (SOCS, 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)

Planning under topological constraints using beam-graphs. - Venkatraman Narayanan; Paul Vernaza; Maxim Likhachev; Steven M. LaValle (ICRA, 2013)

Continuous planning with winding constraints using optimal heuristic-driven front propagation. - Dmitry S. Yershov; Paul Vernaza; Steven M. LaValle (ICRA, 2013)

Learning to locate from demonstrated searches. - Paul Vernaza; Anthony Stentz (Robotics: Science and Systems, 2014)

Learning product set models of fault triggers in high-dimensional software interfaces. - Paul Vernaza; David Guttendorf; Michael Wagner 007; Philip Koopman (IROS, 2015)

Variational reaction-diffusion systems for semantic segmentation. - Paul Vernaza (CoRR, 2016)

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 (CVPR, 2017)

Deep Network Flow for Multi-object Tracking. - Samuel Schulter; Paul Vernaza; Wongun Choi; Manmohan Chandraker (CVPR, 2017)

Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. - Paul Vernaza; Manmohan Chandraker (CVPR, 2017)

Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. - Mohammed E. Fathy; Quoc-Huy Tran; M. Zeeshan Zia; Paul Vernaza; Manmohan Chandraker (ECCV (15), 2018)

r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. - Nicholas Rhinehart; Kris M. Kitani; Paul Vernaza (ECCV (13), 2018)

Towards Uniformly Superhuman Autonomy via Subdominance Minimization. - Brian D. Ziebart; Sanjiban Choudhury; Xinyan Yan; Paul Vernaza (ICML, 2022)

DriveGPT: Scaling Autoregressive Behavior Models for Driving. - Xin Huang; Eric M. Wolff; Paul Vernaza; Tung Phan-Minh; Hongge Chen; David S. Hayden; Mark Edmonds; Brian Pierce; Xinxin Chen; Pratik Elias Jacob; Xiaobai Chen; Chingiz Tairbekov; et al. (CoRR, 2024)

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality. - Liyan Chen; Gregory P. Meyer; Zaiwei Zhang; Eric M. Wolff; Paul Vernaza (CVPR, 2025)