Michael Broxton

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Broxton trusts overall

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

  1. Charles Ruizhongtai Qi
  2. John Flynn
  3. Diederik P. Kingma
  4. Andrew Zisserman
  5. Nima Khademi Kalantari
  6. Karen Simonyan
  7. Tingxian Wang
  8. Zhou Wang
  9. Geoffrey E. Hinton
  10. Richard Zhang

Who trusts Michael Broxton overall

  1. Wenqi Xian
  2. Chen Gao
  3. Gernot Riegler
  4. Jia-Bin Huang
  5. A. Tewari
  6. Johannes Peter Kopf
  7. David B. Lindell
  8. Jonathan T. Barron
  9. Peter Hedman

Papers from Michael Broxton's perspective

Ordered by how strongly the researchers Michael Broxton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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