Francisco Luque Sánchez

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 364 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it
• Artificial Intelligence — 32 citations into it
• Model Architectures — 7 citations into it

Whom Francisco Luque Sánchez trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yoshua Bengio
7. Andrew Zisserman
8. Piotr Doll'ar
9. Yann LeCun
10. Shaoqing Ren

Papers from Francisco Luque Sánchez's perspective

Ordered by how strongly the researchers Francisco Luque Sánchez 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning in video multi-object tracking: A survey (2019) — 668 citations