Javier Cruz-Mota

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Aerospace Engineering — 5 citations into it

Whom Javier Cruz-Mota trusts overall

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

1. David G. Lowe
2. Andrea Vedaldi
3. Krystian Mikolajczyk
4. Cordelia Schmid
5. Adam Baumberg
6. Brian Fulkerson
7. Andrew Zisserman
8. Tinne Tuytelaars
9. Jiri Matas
10. Timor Kadir

Who trusts Javier Cruz-Mota overall

1. Pascal Frossard
2. Renata Khasanova

Papers from Javier Cruz-Mota's perspective

Ordered by how strongly the researchers Javier Cruz-Mota 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. Distinctive Image Features from Scale-Invariant Keypoints
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Scale Invariant Feature Transform on the Sphere: Theory and Applications (2011) — 182 citations