Alberto Rodriguez

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 20 papers; trusts 392 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Rodriguez trusts overall

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

  1. Matthew Thomas Mason
  2. Nikhil Chavan Dafle
  3. John M. Lee
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Ross B. Girshick
  7. Kaiming He
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Francois Robert Hogan

Who trusts Alberto Rodriguez overall

  1. Andy Zeng
  2. Kuan-Ting Yu
  3. Maria Bauzá
  4. Nikhil Chavan Dafle
  5. Sergey Levine
  6. Jeffrey Mahler
  7. Jeannette Bohg
  8. Shuran Song
  9. Dylan Turpin
  10. Konstantinos Bousmalis

Papers from Alberto Rodriguez's perspective

Ordered by how strongly the researchers Alberto Rodriguez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers