Brendan Duke

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 23 citations into it
• Artificial Intelligence — 5 citations into it

Whom Brendan Duke trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Alex Krizhevsky
7. Kaiming He
8. Andrew Zisserman
9. Individualized Treat
10. Jimmy Ba

Papers from Brendan Duke's perspective

Ordered by how strongly the researchers Brendan Duke 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• LOHO: Latent Optimization of Hairstyles via Orthogonalization (2021) — 54 citations