Nathan Michael

Computer Vision and Pattern Recognition · 2009–2013

A researcher in the Science corpus: 8 papers; trusts 57 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #4,839 of 21,575 by trust here, #5,620 by citations
• Aerospace Engineering — 46 citations into it; #794 of 6,421 by trust here, #1,084 by citations
• Control and Systems Engineering — 21 citations into it; #850 of 8,257 by trust here, #792 by citations
• Computer Networks and Communications — 9 citations into it; #2,966 of 9,886 by trust here, #3,426 by citations
• Computational Theory and Mathematics — 6 citations into it
• Biomedical Engineering — 5 citations into it; #6,355 of 10,734 by trust here, #6,312 by citations
• Ocean Engineering — 5 citations into it; #798 of 3,193 by trust here, #496 by citations
• Robotics & Control — 5 citations into it

Whom Nathan Michael trusts overall

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

1. Daniel Mellinger
2. Vijay R. Kumar
3. Morgan Quigley
4. Shaojie Shen
5. Abraham Bachrach
6. G. Hoffmann
7. Stephan Weiss
8. Quentin Lindsey
9. Brian P. Gerkey
10. Michael Blösch

Who trusts Nathan Michael overall

1. Vijay R. Kumar
2. Daniel Mellinger
3. Stephan Weiss
4. Shaojie Shen
5. Samira Hayat
6. Farid Kendoul
7. Grady Williams
8. Davide Scaramuzza
9. Lorenz Meier
10. Moses Bangura

Papers from Nathan Michael's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Notes on the OpenSURF Library
4. Cooperative manipulation and transportation with aerial robots (Auton. Robots)
5. Parallel Tracking and Mapping for Small AR Workspaces
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ROS: an open-source Robot Operating System
8. Minimum snap trajectory generation and control for quadrotors
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Autonomous multi-floor indoor navigation with a computationally constrained MAV (2011) — 417 citations
• Vision-based state estimation for autonomous rotorcraft MAVs in complex environments (2013) — 121 citations
• Trajectory generation and control for precise aggressive maneuvers with quadrotors (2012) — 1,063 citations
• Collaborative mapping of an earthquake‐damaged building via ground and aerial robots (2012) — 510 citations
• Cooperative Grasping and Transport Using Multiple Quadrotors (2010) — 528 citations
• Opportunities and challenges with autonomous micro aerial vehicles (2012) — 491 citations
• The GRASP Multiple Micro-UAV Testbed (2010) — 845 citations
• Cooperative manipulation and transportation with aerial robots (2009) — 777 citations