Luis Miguel Bergasa

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 5 papers; trusts 544 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Luis Miguel Bergasa trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Serge Guillaume
  7. Yann LeCun
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Luis Miguel Bergasa overall

  1. Erik Murphy-Chutorian
  2. Arun Sahayadhas
  3. Yulan Liang
  4. Yanchao Dong
  5. Mohan Manubhai Trivedi
  6. Michelle L. Reyes
  7. Kenneth Sundaraj
  8. Elliot J. Crowley
  9. Zhencheng Hu
  10. Wei-Long Zheng

Papers from Luis Miguel Bergasa's perspective

Ordered by how strongly the researchers Luis Miguel Bergasa 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers