Renato F. Salas-Moreno
Aerospace Engineering · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 80 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 57 citations into it; #662 of 6,421 by trust here, #557 by citations
- Computer Vision and Pattern Recognition — 57 citations into it; #5,315 of 21,575 by trust here, #4,584 by citations
- Geology — 26 citations into it; #102 of 687 by trust here, #68 by citations
- 3D Vision & Pose — 12 citations into it
- Robotics & Control — 8 citations into it
- Computer Graphics and Computer-Aided Design — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Renato F. Salas-Moreno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew J. Davison
- Richard A. Newcombe
- Szymon Rusinkiewicz
- Georg S. W. Klein
- Thomas Whelan
- Shahram Izadi
- Dana H. Ballard
- Jürgen Sturm
- Qian-Yi Zhou
- Steven J. Lovegrove
Who trusts Renato F. Salas-Moreno overall
- Andrew J. Davison
- Jens Behley
- Martin Rünz
- Niko Sünderhauf
- Takafumi Taketomi
- Antoni Rosinol
- John McCormac
- Shichao Yang
- Jianxiong Xiao
- Qian-Yi Zhou
Papers from Renato F. Salas-Moreno's perspective
Ordered by how strongly the researchers Renato F. Salas-Moreno 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- SLAM++: Simultaneous Localisation and Mapping at the Level of Objects (2013) — 998 citations
- ElasticFusion: Dense SLAM Without A Pose Graph (2015) — 906 citations
- ElasticFusion: Real-time dense SLAM and light source estimation (2016) — 711 citations
- Dense planar SLAM (2014) — 217 citations