Steve Cruz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Cruz trusts overall

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

  1. Lalit P. Jain
  2. Walter J. Scheirer
  3. Terrance E. Boult
  4. Abhijit Bendale
  5. Ross B. Girshick
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Alex Krizhevsky
  9. Yongqin Xian
  10. Tsung-Yi Lin

Who trusts Steve Cruz overall

  1. Martin Mundt

Papers from Steve Cruz's perspective

Ordered by how strongly the researchers Steve Cruz 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Microsoft COCO: Common Objects in Context

Their papers