Matthew Groh

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Groh trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Jia Deng
  4. Geoffrey E. Hinton
  5. Joy Buolamwini
  6. Diederik P. Kingma
  7. Kaiming He
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Matthew Groh overall

  1. Mert Yuksekgonul
  2. Irene Solaiman

Papers from Matthew Groh's perspective

Ordered by how strongly the researchers Matthew Groh 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers