Henry Carrillo

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Henry Carrillo trusts overall

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

  1. Sebastian Thrun
  2. Wolfram Burgard
  3. Dieter Fox
  4. Giorgio Grisetti
  5. H. F. Durrant-Whyte
  6. Brian Yamauchi
  7. Geoffrey E. Hinton
  8. Richard S. Sutton
  9. Michael Kaess
  10. Cyrill Stachniss

Who trusts Henry Carrillo overall

  1. Lei Tai
  2. Antoni Rosinol

Papers from Henry Carrillo's perspective

Ordered by how strongly the researchers Henry Carrillo 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers