Rowan T. Hughes

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 8 citations into it

Whom Rowan T. Hughes trusts overall

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

1. Jun-Yan Zhu
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Ian J. Goodfellow
8. Phillip Isola
9. Ilya Sutskever
10. Yann LeCun

Papers from Rowan T. Hughes's perspective

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

Their papers

• Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends (2021) — 143 citations