Wilko Schwarting

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 219 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Wilko Schwarting trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yarin Gal
  6. Yann LeCun
  7. David G. Lowe
  8. Alex Graves
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Wilko Schwarting overall

  1. Nicholas Rhinehart
  2. Azim Eskandarian
  3. Saleh Afroogh
  4. Alexander Amini
  5. Rowan Thomas McAllister
  6. Chaoxian Wu
  7. Ali Akbari
  8. Di Feng

Papers from Wilko Schwarting's perspective

Ordered by how strongly the researchers Wilko Schwarting 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers