Forrester Cole

Computer Vision and Pattern Recognition · with Freeman · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 465 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Forrester Cole trusts overall

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

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

Who trusts Forrester Cole overall

  1. Michael Niemeyer
  2. Songyou Peng
  3. Michael Oechsle
  4. Andreas Geiger
  5. Lars M. Mescheder
  6. Stephen Lombardi
  7. Shichen Liu
  8. Matthew Tancik
  9. Biao Zhang
  10. Michael J. Black

Papers from Forrester Cole's perspective

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

Their papers