Pascual Campoy Cervera

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 19 citations into it
• Aerospace Engineering — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Pascual Campoy Cervera trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Ross B. Girshick
5. Sergey Levine
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Kaiming He
10. Christian Szegedy

Papers from Pascual Campoy Cervera's perspective

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

Their papers

• A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles (2017) — 339 citations