T. Barfoot
Computer Vision and Pattern Recognition · 2008–2017
A researcher in the Science corpus: 9 papers; trusts 59 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #4,183 of 21,575 by trust here, #7,421 by citations
- Aerospace Engineering — 39 citations into it; #519 of 6,421 by trust here, #1,784 by citations
- Artificial Intelligence — 22 citations into it; #7,464 of 35,345 by trust here, #19,873 by citations
- Control and Systems Engineering — 21 citations into it; #4,101 of 8,257 by trust here, #4,962 by citations
- Robotics & Control — 12 citations into it; #324 of 609 by trust here, #529 by citations
- Electrical and Electronic Engineering — 6 citations into it
- Reinforcement Learning — 6 citations into it
- Signal Processing — 6 citations into it
Whom T. Barfoot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Simon
- Sebastian Thrun
- Michael Kaess
- H. F. Durrant-Whyte
- Christoph Hertzberg
- David G. Lowe
- Frank Dellaert
- David Nistér
- Sertac Karaman
- Tim Bailey
Who trusts T. Barfoot overall
- Joan Solà
- Manon Kok
- Christian Forster
- Ross Hartley
- Valentin Peretroukhin
- Jérémie Deray
- Winston Churchill
- Jeroen D. Hol
- C. Ostafew
- Jeffrey Mahler
Papers from T. Barfoot's perspective
Ordered by how strongly the researchers T. Barfoot trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Distinctive Image Features from Scale-Invariant Keypoints
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Et al
Their papers
- Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic (2014) — 1,105 citations
- Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs (2014) — 548 citations
- Visual teach and repeat for long‐range rover autonomy (2010) — 354 citations
- Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments (2014) — 67 citations
- It's not easy seeing green: Lighting-resistant stereo Visual Teach & Repeat using color-constant images (2015) — 40 citations
- State Estimation for Robotics (2017) — 797 citations
- Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking (2016) — 236 citations
- Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems (2014) — 338 citations
- Autonomous underground tramming for center‐articulated vehicles (2008) — 92 citations