Alexander Sage

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Generative Models — 26 citations into it

Whom Alexander Sage trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. L. Eon Bottou
7. Aäron van den Oord
8. Martín Arjovsky
9. Alec Radford
10. Ian J. Goodfellow

Who trusts Alexander Sage overall

1. Steven Liu
2. Arantxa Casanova
3. Tongzhou Wang

Papers from Alexander Sage's perspective

Ordered by how strongly the researchers Alexander Sage 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks (2017) — 67 citations