Fei Gao

Computer Vision and Pattern Recognition · IEEE Robotics and Automation Letters · 2018–2022

A researcher in the Science corpus: 6 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daniel Mellinger
  2. Pedro F. Felzenszwalb
  3. Vijay R. Kumar
  4. Christian Forster
  5. Adam Bry
  6. John T. Betts
  7. Matia Pizzoli
  8. Dan Huttenlocher
  9. Ji Zhang
  10. Charles Richter

Who trusts Fei Gao overall

  1. Boyu Zhou
  2. Antonio Loquercio
  3. Shaojie Shen

Papers from Fei Gao's perspective

Ordered by how strongly the researchers Fei Gao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. SVO: Fast semi-direct monocular visual odometry
  2. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
  3. STOMP: Stochastic trajectory optimization for motion planning (IEEE International Conference on Robotics and Automation)
  4. Cooperative Grasping and Transport Using Multiple Quadrotors (International Symposium on Distributed Autonomous Robotic Systems)
  5. Sampling-based algorithms for optimal motion planning
  6. ImageNet classification with deep convolutional neural networks
  7. OctoMap: an efficient probabilistic 3D mapping framework based on octrees
  8. LOAM: Lidar Odometry and Mapping in Real-time (Robotics: Science and Systems Conference)
  9. REMODE: Probabilistic, monocular dense reconstruction in real time (IEEE International Conference on Robotics and Automation)
  10. Distance Transforms of Sampled Functions

Their papers