Marcos Escudero-Viñolo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 212 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 17 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Marcos Escudero-Viñolo trusts overall

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

1. Kaiming He
2. Bolei Zhou
3. Antonio Torralba
4. Alex Krizhevsky
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Aude Oliva
8. Karen Simonyan
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Marcos Escudero-Viñolo's perspective

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

Their papers

• Semantic-Aware Scene Recognition (2019) — 131 citations