Mae L. Seto
Aerospace Engineering · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 61 citations into it; #5,418 of 6,421 by trust here, #3,764 by citations
- Computer Vision and Pattern Recognition — 41 citations into it
- Electrical and Electronic Engineering — 24 citations into it; #12,944 of 16,539 by trust here, #10,998 by citations
- Computer Networks and Communications — 20 citations into it
- Artificial Intelligence — 18 citations into it
- Ocean Engineering — 11 citations into it; #2,645 of 3,193 by trust here, #1,422 by citations
- Mechanical Engineering — 7 citations into it
Whom Mae L. Seto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- Andrew Howard
- Giorgio Grisetti
- H. F. Durrant-Whyte
- Frank Dellaert
- Wolfram Burgard
- Dirk Hähnel
- Edwin Olson
- Michael Kaess
- John J. Leonard
Who trusts Mae L. Seto overall
Papers from Mae L. Seto's perspective
Ordered by how strongly the researchers Mae L. Seto 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
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- Object recognition from local scale-invariant features
- FastSLAM: a factored solution to the simultaneous localization and mapping problem (AAAI/IAAI)
- Optimization of the simultaneous localization and map-building algorithm for real-time implementation (IEEE Trans. Robotics Autom.)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016) — 313 citations
- AUV Navigation and Localization: A Review (2014) — 1,423 citations