Michael Halstead

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Michael Halstead trusts overall

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

1. Kaiming He
2. Joseph Redmon
3. Shaoqing Ren
4. Ross B. Girshick
5. Inkyu Sa
6. Ali Farhadi
7. Piotr Doll'ar
8. Alex Krizhevsky
9. Geoffrey E. Hinton
10. Jia Deng

Who trusts Michael Halstead overall

1. Jean-Michel Fortin

Papers from Michael Halstead's perspective

Ordered by how strongly the researchers Michael Halstead 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar (2020) — 23 citations