Michael G. K. Jones

Computer Vision and Pattern Recognition · with Diepeveen · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 6 citations into it

Whom Michael G. K. Jones trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton

Papers from Michael G. K. Jones's perspective

Ordered by how strongly the researchers Michael G. K. Jones 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: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Backpropagation Applied to Handwritten Zip Code Recognition
7. Fully convolutional networks for semantic segmentation
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• A Survey of Deep Learning Techniques for Weed Detection from Images (2021) — 409 citations