Michael King

Computer Vision and Pattern Recognition · with Aytar · 2023

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

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it

Whom Michael King trusts overall

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

1. João Carreira
2. Kaiming He
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Nitish Srivastava
6. Alex Krizhevsky
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ross B. Girshick

Papers from Michael King's perspective

Ordered by how strongly the researchers Michael King 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning from One Continuous Video Stream (2023) — 15 citations