Mark A. Horowitz

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 14 papers; trusts 71 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Mark A. Horowitz trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Yann LeCun
  9. Ren Ng
  10. Song Han

Who trusts Mark A. Horowitz overall

  1. Markus Nagel
  2. Victor Sanh
  3. Simon Wiedemann
  4. Seijoon Kim
  5. Wuzhen Shi
  6. Man Yao
  7. Yelysei Bondarenko
  8. Sara Hooker
  9. Marios Fournarakis
  10. Jeff Johnson

Papers from Mark A. Horowitz's perspective

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

Their papers