Morgan Quigley

Computer Vision and Pattern Recognition · 2003–2010

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 360 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #20,783 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 16 citations into it; #3,933 of 35,345 by trust here, #5,565 by citations
• Aerospace Engineering — 15 citations into it; #6,089 of 6,421 by trust here, #2,656 by citations
• Reinforcement Learning — 14 citations into it; #382 of 2,242 by trust here, #535 by citations
• Control and Systems Engineering — 8 citations into it; #1,284 of 8,257 by trust here, #576 by citations
• Electrical and Electronic Engineering — 6 citations into it
• Biomedical Engineering — 5 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Morgan Quigley trusts overall

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

1. Giorgio Grisetti
2. Navneet Dalal
3. Pieter Abbeel
4. Svetlana Lazebnik
5. David G. Lowe
6. Antonio Torralba
7. Wolfram Burgard
8. Andrew Y. Ng
9. Nikos A. Vlassis
10. Richard S. Sutton

Who trusts Morgan Quigley overall

1. Markus Achtelik
2. Todd Hester
3. Tixiao Shan
4. Pieter Abbeel
5. Sarah Osentoski
6. Jan Hodický
7. Berk Çalli
8. Ioan Alexandru Sucan
9. Sergey Levine
10. John Schulman

Papers from Morgan Quigley's perspective

Ordered by how strongly the researchers Morgan Quigley 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• An Application of Reinforcement Learning to Aerobatic Helicopter Flight (2006) — 690 citations
• Using inaccurate models in reinforcement learning (2006) — 272 citations
• High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening (2009) — 112 citations
• Sub-meter indoor localization in unmodified environments with inexpensive sensors (2010) — 73 citations
• ROS: an open-source Robot Operating System (2009) — 10,968 citations
• Supporting wilderness search and rescue using a camera‐equipped mini UAV (2008) — 439 citations
• Autonomous Vehicle Technologies for Small Fixed-Wing UAVs (2003) — 471 citations