Guoquan Huang
Aerospace Engineering · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 53 citations into it; #3,093 of 6,421 by trust here, #6,012 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #12,759 of 21,575 by trust here, #20,756 by citations
- Electrical and Electronic Engineering — 18 citations into it; #7,046 of 16,539 by trust here, #16,053 by citations
- Geology — 12 citations into it
- Artificial Intelligence — 5 citations into it
- Ocean Engineering — 5 citations into it
Whom Guoquan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anastasios I. Mourikis
- Michael Kaess
- Frank Dellaert
- Agostino Martinelli
- Christian Forster
- Michael Bloesch
- Jakob J. Engel
- Simon Lynen
- Roland Yves Siegwart
- Georg S. W. Klein
Who trusts Guoquan Huang overall
Papers from Guoquan Huang's perspective
Ordered by how strongly the researchers Guoquan Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation (Proceedings 2007 IEEE International Conference on Robotics and Automation)
- ImageNet classification with deep convolutional neural networks
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- SVO: Fast semi-direct monocular visual odometry
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Parallel Tracking and Mapping for Small AR Workspaces
- LSD-SLAM: Large-Scale Direct Monocular SLAM
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Robust visual inertial odometry using a direct EKF-based approach
Their papers
- Visual-Inertial Navigation: A Concise Review (2019) — 363 citations
- OpenVINS: A Research Platform for Visual-Inertial Estimation (2020) — 740 citations