Charles Richter

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #9,645 of 21,575 by trust here, #11,950 by citations
• Aerospace Engineering — 19 citations into it; #2,006 of 6,421 by trust here, #2,656 by citations
• Artificial Intelligence — 16 citations into it; #11,567 of 35,345 by trust here, #18,186 by citations
• Reinforcement Learning — 10 citations into it
• Robotics & Control — 9 citations into it; #188 of 609 by trust here, #458 by citations

Whom Charles Richter trusts overall

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

1. Daniel Mellinger
2. John T. Betts
3. Sertac Karaman
4. Raia Hadsell
5. Yann LeCun
6. Adam Bry
7. Yarin Gal
8. Vijay R. Kumar
9. Taeyoung Lee
10. Geoffrey E. Hinton

Who trusts Charles Richter overall

1. Gregory Kahn
2. Markus Achtelik
3. Michael Watterson
4. Boyu Zhou
5. Yunbo Zhang
6. Benjamin Eysenbach
7. Adam Villaflor
8. Noriaki Hirose
9. Sergey Levine
10. Marius Fehr

Papers from Charles Richter's perspective

Ordered by how strongly the researchers Charles Richter 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. Et al
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Safe Visual Navigation via Deep Learning and Novelty Detection (2017) — 202 citations
• Bayesian Learning for Safe High-Speed Navigation in Unknown Environments (2015) — 77 citations
• Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments (2016) — 792 citations