Robert Calderbank

Computer Vision and Pattern Recognition · 2007–2018

A researcher in the Science corpus: 7 papers; trusts 275 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Calderbank trusts overall

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

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

Who trusts Robert Calderbank overall

  1. David W. Romero
  2. Xiuyuan Cheng

Papers from Robert Calderbank's perspective

Ordered by how strongly the researchers Robert Calderbank 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers