Pol Moreno

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Pol Moreno trusts overall

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

1. Radford M. Neal
2. Diederik P. Kingma
3. Karen Simonyan
4. Dana H. Ballard
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Jimmy Ba
8. Mengye Ren
9. Matthew Maverick Loper

Papers from Pol Moreno's perspective

Ordered by how strongly the researchers Pol Moreno trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image (2017) — 46 citations