Jing Dong

According to our database, Jing Dong authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Decentralization and Acceleration Enables Large-Scale Bundle Adjustment.

Taosha Fan, Joseph Ortiz, Ming Hsiao, Maurizio Monge, Jing Dong, Todd D. Murphey, Mustafa Mukadam

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.

Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Theseus: A Library for Differentiable Nonlinear Optimization.

Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

MR-iSAM2: Incremental Smoothing and Mapping with Multi-Root Bayes Tree for Multi-Robot SLAM.

Yetong Zhang, Ming Hsiao, Jing Dong, Jakob Engel, Frank Dellaert

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019

Extending 3D Reconstruction to Temporal and Multi-model Sensor Data for Precision Agriculture.

Jing Dong

PhD thesis, 2019

STEAP: simultaneous trajectory estimation and planning.

Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots

Auton. Robots, 2019

2018

Continuous-time Gaussian process motion planning via probabilistic inference.

Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots

Int. J. Robotics Res., 2018

Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories.

Jing Dong, Mustafa Mukadam, Byron Boots, Frank Dellaert

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning to Align Images Using Weak Geometric Supervision.

Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups.

Jing Dong, Byron Boots, Frank Dellaert

CoRR, 2017

Simultaneous Trajectory Estimation and Planning via Probabilistic Inference.

Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots

Proceedings of the Robotics: Science and Systems XIII, 2017

4D crop monitoring: Spatio-temporal reconstruction for agriculture.

Jing Dong, John Gary Burnham, Byron Boots, Glen C. Rains, Frank Dellaert

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs.

Jing Dong, Mustafa Mukadam, Frank Dellaert, Byron Boots

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

2015

Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach.

Jing Dong, Erik Nelson, Vadim Indelman, Nathan Michael, Frank Dellaert

Proceedings of the IEEE International Conference on Robotics and Automation, 2015