Juan Pablo Wachs

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Juan Pablo Wachs trusts overall

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

  1. Bernardino Romera-Paredes
  2. Paul A. Viola
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Philip H. S. Torr
  6. Ilya Sutskever
  7. Jitendra Malik
  8. Li Fei-Fei

Who trusts Juan Pablo Wachs overall

  1. Jesus Suarez
  2. Munir Oudah
  3. Zhou Ren
  4. Robin Roberson Murphy
  5. J. Laviola
  6. A. Al‐Naji
  7. Junsong Yuan

Papers from Juan Pablo Wachs's perspective

Ordered by how strongly the researchers Juan Pablo Wachs 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers