Enrique S. Marquez

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #17,626 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 13 citations into it; #28,661 of 35,345 by trust here, #29,412 by citations
• Model Architectures — 11 citations into it

Whom Enrique S. Marquez trusts overall

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

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

Who trusts Enrique S. Marquez overall

1. Arild Nøkland
2. Eugene Belilovsky
3. Lars Hiller Eidnes

Papers from Enrique S. Marquez's perspective

Ordered by how strongly the researchers Enrique S. Marquez 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Cascade Learning (2018) — 126 citations