Pablo Mesejo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 22 citations into it
• Optimization & Training — 9 citations into it
• Human-Computer Interaction — 8 citations into it
• Biomedical Engineering — 6 citations into it

Whom Pablo Mesejo trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Ilya Sutskever
5. Ross B. Girshick
6. Yann LeCun
7. Yoshua Bengio
8. Shaoqing Ren
9. Christian Szegedy
10. Diederik P. Kingma

Who trusts Pablo Mesejo overall

1. Andrea Pilzer

Papers from Pablo Mesejo's perspective

Ordered by how strongly the researchers Pablo Mesejo 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Comprehensive Analysis of Deep Regression (2018) — 330 citations