Brendan Englot
Aerospace Engineering · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 35 citations into it; #717 of 6,421 by trust here, #3,072 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #5,319 of 21,575 by trust here, #13,269 by citations
- Geology — 11 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Artificial Intelligence — 6 citations into it
Whom Brendan Englot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ji Zhang
- Morgan Quigley
- Tixiao Shan
- Sanjiv Singh
- Andreas Geiger
- Haoyang Ye
- Michael Kaess
- Aleksandr V. Segal
- Tong Qin
- Frank Dellaert
Who trusts Brendan Englot overall
- Han Wang
- Tixiao Shan
- Jiarong Lin
- Wei Xu
- Ignacio Vizzo
- Chen Wang
- Bencheng Liao
- Fu Zhang
- Giseop Kim
- Luiz F. P. Oliveira
Papers from Brendan Englot's perspective
Ordered by how strongly the researchers Brendan Englot trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Histograms of oriented gradients for human detection
Their papers
- LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain (2018) — 1,982 citations
- LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping (2021) — 519 citations
- LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping (2020) — 2,021 citations