Dominic Zeng Wang

According to our database1, Dominic Zeng Wang authored at least 10 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Deep tracking in the wild: End-to-end tracking using recurrent neural networks.
Int. J. Robotics Res., 2018

2017
Large-scale cost function learning for path planning using deep inverse reinforcement learning.
Int. J. Robotics Res., 2017

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks.
CoRR, 2016

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.
CoRR, 2016

Watch this: Scalable cost-function learning for path planning in urban environments.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Model-free detection and tracking of dynamic objects with 2D lidar.
Int. J. Robotics Res., 2015

Voting for Voting in Online Point Cloud Object Detection.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

2013
A New Approach to Model-Free Tracking with 2D Lidar.
Proceedings of the Robotics Research, 2013

2012
What could move? Finding cars, pedestrians and bicyclists in 3D laser data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012


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