John Skinner

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 25 citations into it
• Aerospace Engineering — 12 citations into it

Whom John Skinner trusts overall

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

1. Michael Milford
2. Gordon Fraser Wyeth
3. Mark Joseph Cummins
4. Karen Simonyan
5. Ross B. Girshick
6. Raul Mur-Artal
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Ken Chatfield
10. Andrew Zisserman

Papers from John Skinner's perspective

Ordered by how strongly the researchers John Skinner 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• High-fidelity simulation for evaluating robotic vision performance (2016) — 22 citations
• Probabilistic Object Detection: Definition and Evaluation (2018) — 128 citations