Steven G. McDonagh

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Steven G. McDonagh trusts

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

1. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Steven G. McDonagh's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Fully convolutional networks for semantic segmentation
5. Human-level control through deep reinforcement learning
6. Reinforcement Learning: An Introduction
7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
8. Recurrent Models of Visual Attention
9. ImageNet classification with deep convolutional neural networks
10. Mastering the game of Go with deep neural networks and tree search

Their papers

• Attention U-Net: Learning Where to Look for the Pancreas (2018) — 7,627 citations
• Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents (2018) — 61 citations
• Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation (2017) — 460 citations