Luis Ferraz

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 151 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #9,778 of 21,575 by trust here, #6,089 by citations
• Aerospace Engineering — 14 citations into it; #5,800 of 6,421 by trust here, #1,154 by citations
• Artificial Intelligence — 11 citations into it
• Media Technology — 6 citations into it; #2,248 of 3,621 by trust here, #2,280 by citations

Whom Luis Ferraz trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Karen Simonyan
6. Ross B. Girshick
7. Ronan Collobert
8. Christian Szegedy
9. Andrea Vedaldi
10. Ilya Sutskever

Who trusts Luis Ferraz overall

1. Filip Radenovic
2. Iasonas Kokkinos
3. Ignacio Rocco
4. X. Wang
5. Giorgos Tolias

Papers from Luis Ferraz's perspective

Ordered by how strongly the researchers Luis Ferraz 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Discriminative Learning of Deep Convolutional Feature Point Descriptors (2015) — 817 citations
• Fracking Deep Convolutional Image Descriptors (2014) — 71 citations