Alicia Fornés

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #9,885 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 19 citations into it
• Media Technology — 13 citations into it
• Natural Language Processing — 6 citations into it; #3,054 of 5,688 by trust here, #3,235 by citations

Whom Alicia Fornés trusts overall

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

1. Andreas Stolcke
2. Urs-Viktor Marti
3. Horst Bunke
4. Alex Graves

Who trusts Alicia Fornés overall

1. Albert Gordo
2. Xiang Bai
3. Matthew E. Peters
4. Max Jaderberg
5. Lluís Gómez

Papers from Alicia Fornés's perspective

Ordered by how strongly the researchers Alicia Fornés 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. 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. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Word Spotting and Recognition with Embedded Attributes (2014) — 528 citations
• Bidirectional Language Model for Handwriting Recognition (2012) — 7 citations