Dominic Zeng Wang

Large-scale cost function learning for path planning using deep inverse reinforcement learning

Dushyant Rao, Markus Wulfmeier, Ingmar Posner, 2017, Int. J. Robotics Res..

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks

Dushyant Rao, Ingmar Posner, Dominic Zeng Wang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Deep tracking in the wild: End-to-end tracking using recurrent neural networks

Dushyant Rao, Ingmar Posner, Dominic Zeng Wang, 2018, Int. J. Robotics Res..

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks pdf

Ingmar Posner, Dominic Zeng Wang, Peter Ondruska, 2016, ArXiv.

Watch this: Scalable cost-function learning for path planning in urban environments

Markus Wulfmeier, Ingmar Posner, Dominic Zeng Wang, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Voting for Voting in Online Point Cloud Object Detection

Ingmar Posner, Dominic Zeng Wang, I. Posner, 2015, Robotics: Science and Systems.

A New Approach to Model-Free Tracking with 2D Lidar

Paul Newman, Ingmar Posner, Dominic Zeng Wang, 2013, ISRR.

Model-free detection and tracking of dynamic objects with 2D lidar

Paul Newman, Ingmar Posner, Dominic Zeng Wang, 2015, Int. J. Robotics Res..

What could move? Finding cars, pedestrians and bicyclists in 3D laser data

Paul Newman, Ingmar Posner, Dominic Zeng Wang, 2012, 2012 IEEE International Conference on Robotics and Automation.

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks pdf

Dushyant Rao, Ingmar Posner, Dominic Zeng Wang, 2016, ArXiv.