Yipu Zhao

Research Scientist, Facebook Reality Lab

Joined

July 2019

Names

Yipu Zhao

Emails

****@gmail.com (Confirmed)

****@fb.com (Confirmed)

****@gatech.edu (Confirmed)

****@meta.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Facebook Reality Lab (fb.com)

2019 – Present

PhD student

Georgia Institute of Technology (gatech.edu)

2013 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Patricio Vela

2013 – 2019

Expertise

SLAM

Present

3D vision

Present

Self-supervised learning

Present

Keypoint detection

Present

Map sparsification

Present

Object tracking

Present

Publications

Long-term Visual Map Sparsification with Heterogeneous GNN
Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
- 2022 (modified: 13 Oct 2022)
- CVPR 2022
- Readers: Everyone
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM
Yipu Zhao, Justin S. Smith, Patricio A. Vela
- Published: 01 Jan 2020, Last Modified: 25 Sept 2023
- CoRR 2020
- Readers: Everyone
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy
Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
- Published: 01 Jan 2020, Last Modified: 25 Sept 2023
- ICRA 2020
- Readers: Everyone
Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency
Yipu Zhao, Patricio A. Vela
- Published: 01 Jan 2020, Last Modified: 25 Sept 2023
- IEEE Trans. Robotics 2020
- Readers: Everyone
Characterizing SLAM Benchmarks and Methods for the Robust Perception Age
Wenkai Ye, Yipu Zhao, Patricio A. Vela
- Published: 01 Jan 2019, Last Modified: 25 Sept 2023
- CoRR 2019
- Readers: Everyone
Good Line Cutting: Towards Accurate Pose Tracking of Line-Assisted VO/VSLAM
Yipu Zhao, Patricio A. Vela
- 2018 (modified: 16 Jul 2019)
- ECCV (2) 2018
- Readers: Everyone

Yipu Zhao

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Long-term Visual Map Sparsification with Heterogeneous GNN

Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM

Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy

Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency

Characterizing SLAM Benchmarks and Methods for the Robust Perception Age

Good Line Cutting: Towards Accurate Pose Tracking of Line-Assisted VO/VSLAM

Co-Authors