Joan Serrat Gual

Computer Vision and Pattern Recognition · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 301 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Joan Serrat Gual trusts overall

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

  1. David G. Lowe
  2. Jianguo Zhang
  3. Pedro F. Felzenszwalb
  4. Geoffrey E. Hinton
  5. Lubor Ladicky
  6. Svetlana Lazebnik
  7. Alex Krizhevsky
  8. Andrew Zisserman
  9. Cordelia Schmid
  10. Kaiming He

Who trusts Joan Serrat Gual overall

  1. Bharath Hariharan

Papers from Joan Serrat Gual's perspective

Ordered by how strongly the researchers Joan Serrat Gual 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers