Dustin J. Webb

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #15,058 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 10 citations into it

Whom Dustin J. Webb trusts overall

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

1. Sertac Karaman
2. Emilio Frazzoli
3. Victor M. Becerra
4. Mark H. Overmars
5. Steven M. LaValle
6. Marc van Kreveld

Who trusts Dustin J. Webb overall

1. Thi Thoa Mac
2. Scott Drew Pendleton
3. Cosmin Copot
4. Mohamed Elbanhawi
5. Hans Andersen
6. Naoki Yokoyama
7. Iram Noreen
8. Trung Tran Duc

Papers from Dustin J. Webb's perspective

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

1. Incremental Sampling-based Algorithms for Optimal Motion Planning
2. Randomized Kinodynamic Planning
3. ImageNet classification with deep convolutional neural networks
4. Torch7: A Matlab-like Environment for Machine Learning
5. Going deeper with convolutions
6. Optimal control (Scholarpedia)
7. Large Scale Distributed Deep Networks
8. cuDNN: Efficient Primitives for Deep Learning
9. Recurrent Neural Network Regularization
10. Fast Exact Multiplication by the Hessian

Their papers

• Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations
• Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics (2013) — 435 citations