Jingnan Shi

According to our database, Jingnan Shi authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation.

Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone

CoRR, 2024

KISS-Matcher: Fast and Robust Point Cloud Registration Revisited.

Hyungtae Lim, Daebeom Kim, Gunhee Shin, Jingnan Shi, Ignacio Vizzo, Hyun Myung, Jaesik Park, Luca Carlone

CoRR, 2024

2023

Optimal and Robust Category-Level Perception: Object Pose and Shape Estimation From 2-D and 3-D Semantic Keypoints.

Jingnan Shi, Heng Yang, Luca Carlone

IEEE Trans. Robotics, October, 2023

PyPose v0.6: The Imperative Programming Interface for Robotics.

Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, Yangmengfei Xu, Xiangyu Chen, Kuan Xu, Kun Cao, Zhipeng Zhao, Zihan Wang, Huan Xu, Zihang Fang, Yutian Chen, Wentao Wang, Xu Fang, Yi Du, Tianhao Wu, Xiao Lin, Yuheng Qiu, Fan Yang, Jingnan Shi, Shaoshu Su, Yiren Lu, Taimeng Fu, Karthik Dantu, Jiajun Wu, Lihua Xie, Marco Hutter, Luca Carlone, Sebastian A. Scherer, Daning Huang, Yaoyu Hu, Junyi Geng, Chen Wang

CoRR, 2023

A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training.

Jingnan Shi, Rajat Talak, Dominic Maggio, Luca Carlone

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

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields.

Dominic Maggio, Marcus Abate, Jingnan Shi, Courtney Mario, Luca Carlone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian A. Scherer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments.

Yun Chang, Kamak Ebadi, Christopher E. Denniston, Muhammad Fadhil Ginting, Antoni Rosinol, Andrzej Reinke, Matteo Palieri, Jingnan Shi, Arghya Chatterjee, Benjamin Morrell, Ali-akbar Agha-mohammadi, Luca Carlone

IEEE Robotics Autom. Lett., 2022

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Han Wang, Huai Yu, Shanzhao Wang, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Luca Carlone, Marco Hutter, Sebastian A. Scherer

CoRR, 2022

Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints.

Jingnan Shi, Heng Yang, Luca Carlone

CoRR, 2022

Visual Navigation for Autonomous Vehicles: An Open-source Hands-on Robotics Course at MIT.

Luca Carlone, Kasra Khosoussi, Vasileios Tzoumas, Golnaz Habibi, Markus Ryll, Rajat Talak, Jingnan Shi, Pasquale Antonante

CoRR, 2022

2021

TEASER: Fast and Certifiable Point Cloud Registration.

Heng Yang, Jingnan Shi, Luca Carlone

IEEE Trans. Robotics, 2021

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs.

Antoni Rosinol, Andrew Violette, Marcus Abate, Nathan Hughes, Yun Chang, Jingnan Shi, Arjun Gupta, Luca Carlone

Int. J. Robotics Res., 2021

Optimal Pose and Shape Estimation for Category-level 3D Object Perception.

Jingnan Shi, Heng Yang, Luca Carlone

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants.

Jingnan Shi, Heng Yang, Luca Carlone

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

2020

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans.

Antoni Rosinol, Arjun Gupta, Marcus Abate, Jingnan Shi, Luca Carlone

Proceedings of the Robotics: Science and Systems XVI, 2020

2018

Acoustic Tag State Estimation with Unsynchronized Hydrophones on AUVs.

Jingnan Shi, Tianyi Ma, Chi-Yen Lee, Eyassu Shimelis, Charles Van Eijk, Christopher M. Clark, Christopher G. Lowe

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018