Robert S. Mannel

Computer Vision and Pattern Recognition · 2003–2021

A researcher in the Science corpus: 12 papers; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert S. Mannel trusts overall

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

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

Papers from Robert S. Mannel's perspective

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

Their papers