José A. García-Rodríguez

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 324 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 155 citations into it
• Artificial Intelligence — 74 citations into it
• Generative Models — 48 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom José A. García-Rodríguez trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Kaiming He
5. Alex Krizhevsky
6. Yann LeCun
7. Karen Simonyan
8. Radford M. Neal
9. Ilya Sutskever
10. Ross B. Girshick

Papers from José A. García-Rodríguez's perspective

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

Their papers

• A Review on Deep Learning Techniques for Video Prediction (2020) — 319 citations