Jonatas Wehrmann

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonatas Wehrmann trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Jonatas Wehrmann overall

  1. Felipe Kenji Nakano
  2. Rodolfo Miranda Pereira
  3. Mathias Lietaert
  4. Stanislav Frolov
  5. Diego Bertolini
  6. Nils Strodthoff

Papers from Jonatas Wehrmann's perspective

Ordered by how strongly the researchers Jonatas Wehrmann 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers