Ricard Durall

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 185 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ricard Durall trusts overall

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

  1. Christopher K. I. Williams
  2. Geoffrey E. Hinton
  3. Tero Karras
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Diederik P. Kingma
  7. Kaiming He
  8. Yoshua Bengio
  9. Individualized Treat
  10. Jia Deng

Who trusts Ricard Durall overall

  1. Diego Gragnaniello
  2. Luisa Verdoliva
  3. Momina Masood
  4. Mingjian Zhu
  5. Chuangchuang Tan
  6. Ali Borji
  7. Francesco Marra
  8. M. M. Tanzim Nawaz

Papers from Ricard Durall's perspective

Ordered by how strongly the researchers Ricard Durall 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. 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. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers