José Miguel Buenaposada

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #12,904 of 21,575 by trust here, #12,689 by citations
• Aerospace Engineering — 11 citations into it; #3,503 of 6,421 by trust here, #2,921 by citations

Whom José Miguel Buenaposada trusts overall

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

1. Frank Steinbrücker
2. Richard M. Murray
3. Tinghui Zhou

Who trusts José Miguel Buenaposada overall

1. Richard Tucker
2. Chengzhou Tang
3. Clément Godard
4. Shangzhe Wu
5. Marvin Klingner
6. Vitor Campanholo Guizilini
7. Vincent Casser
8. Ariel Gordon

Papers from José Miguel Buenaposada's perspective

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

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

Their papers

• Learning Depth from Monocular Videos Using Direct Methods (2017) — 639 citations