Xavier Lladó

Computer Vision and Pattern Recognition · 2008–2019

A researcher in the Science corpus: 6 papers; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Lladó trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Sebastian Thrun
  8. Julian Besag
  9. Ilya Sutskever
  10. David G. Lowe

Papers from Xavier Lladó's perspective

Ordered by how strongly the researchers Xavier Lladó 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers