Ronald Poppe

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 6 papers; trusts 1,301 researchers and is trusted by 1,030 researchers here, as inferred from the citation graph.

Subfields

Whom Ronald Poppe trusts overall

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

  1. Ivan Laptev
  2. Kaiming He
  3. Paul A. Viola
  4. Jitendra Malik
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Pedro F. Felzenszwalb
  8. Ross B. Girshick
  9. Deva Ramanan
  10. David G. Lowe

Who trusts Ronald Poppe overall

  1. Feng Zhou
  2. Eshed Ohn-Bar
  3. Runlin Zhao
  4. Sou-Young Jin
  5. Luc Brun
  6. Ilias Theodorakopoulos
  7. Samitha Herath
  8. Srinath Sridhar
  9. Manoj Ramanathan
  10. Necati Cihan Camgöz

Papers from Ronald Poppe's perspective

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

Their papers