Leonardo Rundo

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 74 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Leonardo Rundo trusts overall

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

  1. Geoffrey E. Hinton
  2. Alec Radford
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Christian Szegedy
  7. Alex Krizhevsky
  8. Ian J. Goodfellow
  9. Yann LeCun
  10. Tim Salimans

Who trusts Leonardo Rundo overall

  1. Miaoyun Zhao
  2. Yulai Cong

Papers from Leonardo Rundo's perspective

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

Their papers