Eduardo Pérez-Pellitero

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #7,988 of 21,575 by trust here, #14,478 by citations
• Media Technology — 20 citations into it; #2,135 of 3,621 by trust here, #2,820 by citations
• Computational Mechanics — 9 citations into it

Whom Eduardo Pérez-Pellitero trusts overall

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

1. Radu Timofte
2. Chih-Yuan Yang
3. Roman Zeyde
4. Chao Dong
5. Samuel Schulter
6. Kaiming He
7. Vincent De Smet
8. Luc Van Gool
9. Michael Elad
10. Geoffrey E. Hinton

Who trusts Eduardo Pérez-Pellitero overall

1. Mehdi S. M. Sajjadi
2. Xiao-Jiao Mao
3. Saeed Anwar
4. Eirikur Agustsson
5. Yulun Zhang
6. Chunhua Shen
7. Lijun Wang
8. Radu Timofte
9. Nick Barnes
10. Raviteja Vemulapalli

Papers from Eduardo Pérez-Pellitero's perspective

Ordered by how strongly the researchers Eduardo Pérez-Pellitero 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Naive Bayes Super-Resolution Forest (2015) — 118 citations
• PSyCo: Manifold Span Reduction for Super Resolution (2016) — 48 citations