Alberto Mozo

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Generative Models — 23 citations into it
• Artificial Intelligence — 19 citations into it
• Signal Processing — 14 citations into it
• Model Architectures — 8 citations into it

Whom Alberto Mozo trusts overall

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

1. Alex Krizhevsky
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Karen Simonyan
10. L. Eon Bottou

Papers from Alberto Mozo's perspective

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

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

Their papers

• Data Augmentation techniques in time series domain: a survey and taxonomy (2022) — 313 citations