Michael J. Gormish

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Gormish trusts overall

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

  1. Christian Szegedy
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Sergey Ioffe
  7. Marcelo J. Weinberger
  8. Karen Simonyan
  9. X. Zhang
  10. Yann LeCun

Who trusts Michael J. Gormish overall

  1. Julio Martin Duarte-Carvajalino

Papers from Michael J. Gormish's perspective

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

Their papers