Matthew Kowal

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 15 citations into it

Whom Matthew Kowal trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Shaoqing Ren
5. Ross B. Girshick
6. Karen Simonyan
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Papers from Matthew Kowal's perspective

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

Their papers

• Shape or Texture: Understanding Discriminative Features in CNNs (2021) — 93 citations
• Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs (2021) — 36 citations