Jing Dong

According to our database, Jing Dong authored at least 22 papers between 2015 and 2024.

Collaborative distances:

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

2024

Aria Everyday Activities Dataset.

Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng, Chris Sweeney, Edward Miller, Huixuan Tang, Jeff Meissner, Jing Dong, Kiran K. Somasundaram, Luis Pesqueira, Mark Schwesinger, Omkar M. Parkhi, Qiao Gu, Renzo De Nardi, Shangyi Cheng, Steve Saarinen, Vijay Baiyya, Yuyang Zou, Richard A. Newcombe, Jakob Julian Engel, Xiaqing Pan, Carl Yuheng Ren

CoRR, 2024

Robust Indoor Localization with Ranging-IMU Fusion.

Fan Jiang, David Caruso, Ashutosh Dhekne, Qi Qu, Jakob Julian Engel, Jing Dong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.

CoRR, 2023

Project Aria: A New Tool for Egocentric Multi-Modal AI Research.

Kiran K. Somasundaram, Jing Dong, Huixuan Tang, Julian Straub, Mingfei Yan, Michael Goesele, Jakob Julian Engel, Renzo De Nardi, Richard A. Newcombe

CoRR, 2023

Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion.

Erqun Dong, Sheroze Sheriffdeen, Shichao Yang, Jing Dong, Renzo De Nardi, Carl Yuheng Ren, Xiao-Wen Chang, Xue Liu, Zijian Wang

CoRR, 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 J. Engel, Frank Dellaert

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

Distributed Client-Server Optimization for SLAM with Limited On-Device Resources.

Yetong Zhang, Ming Hsiao, Yipu Zhao, Jing Dong, Jakob J. Engel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

TLIO: Tight Learned Inertial Odometry.

Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob J. Engel

IEEE Robotics Autom. Lett., 2020

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