Elliot J. Crowley

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 860 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Elliot J. Crowley trusts overall

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

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

Who trusts Elliot J. Crowley overall

  1. Frederick Tung
  2. Lin Wang
  3. Hongping Cai
  4. Chaoyang He
  5. Jianping Gou
  6. Greg Mori
  7. Wonpyo Park
  8. Liangchen Luo
  9. Hongsheng Hu
  10. Kuk-Jin Yoon

Papers from Elliot J. Crowley's perspective

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

Their papers