Ethan Rublee

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 122 researchers and is trusted by 155 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #2,886 of 21,575 by trust here, #4,001 by citations
• Aerospace Engineering — 17 citations into it; #554 of 6,421 by trust here, #575 by citations
• Artificial Intelligence — 14 citations into it

Whom Ethan Rublee trusts overall

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

1. David G. Lowe
2. Georg S. W. Klein
3. Ondřej Chum
4. David Nistér
5. Marius Muja
6. Matthew A. Brown
7. Alex Krizhevsky
8. Jiri Matas
9. Geoffrey E. Hinton
10. Diederik P. Kingma

Who trusts Ethan Rublee overall

1. Daniel DeTone
2. Raul Mur-Artal
3. Yin Li
4. Lei Tai
5. Juan D. Tardós
6. Alex Kendall
7. Kwang Moo Yi
8. Felix Endres
9. Jiayi Ma
10. Francisco Angel Moreno

Papers from Ethan Rublee's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• ORB: An efficient alternative to SIFT or SURF (2011) — 10,845 citations
• Kornia: an Open Source Differentiable Computer Vision Library for PyTorch (2019) — 459 citations