Robert Pless

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 6 papers; trusts 155 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Pless trusts overall

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

  1. M. Grossberg
  2. Shree K. Nayar
  3. Kaiming He
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Robert Pless overall

  1. Pablo Speciale
  2. Johannes L. Schönberger
  3. Alvaro Collet
  4. Jérôme Maye
  5. Edward Johns
  6. Abhishek Patil
  7. Sing Bing Kang
  8. Yann Labb'e
  9. Richard I. Hartley
  10. Sudipta N. Sinha

Papers from Robert Pless's perspective

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

Their papers