Aythami Morales
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 272 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 104 citations into it
- Generative Models — 29 citations into it
- Signal Processing — 27 citations into it; #7,265 of 7,572 by trust here, #7,486 by citations
- Artificial Intelligence — 21 citations into it
- Information Systems — 10 citations into it
- Model Architectures — 10 citations into it
- Media Technology — 6 citations into it
Whom Aythami Morales trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Andrew Zisserman
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Ilya Sutskever
Who trusts Aythami Morales overall
Papers from Aythami Morales's perspective
Ordered by how strongly the researchers Aythami Morales trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory