Fabian Caba Heilbron

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 930 researchers and is trusted by 986 researchers here, as inferred from the citation graph.

Subfields

Whom Fabian Caba Heilbron trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Jia Deng
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Fabian Caba Heilbron overall

  1. Limin Wang
  2. Humam Alwassel
  3. Bernard Ghanem
  4. Tianwei Lin
  5. Victor Escorcia
  6. Luowei Zhou
  7. Zuxuan Wu
  8. Antonino Furnari
  9. Kristen Grauman
  10. Rowan Zellers

Papers from Fabian Caba Heilbron's perspective

Ordered by how strongly the researchers Fabian Caba Heilbron 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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