Kevin Matzen

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 427 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Matzen trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Karen Simonyan
  7. Yann LeCun
  8. Yasutaka Furukawa
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Kevin Matzen overall

  1. Yao Yao
  2. Ibraheem Alhashim
  3. Jia-Bin Huang
  4. Yuliang Zou
  5. Hamid Laga
  6. Bo Yang

Papers from Kevin Matzen's perspective

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

Their papers