Rodrigo Castellon

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rodrigo Castellon trusts overall

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

  1. Jonathan Ho
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Prafulla Dhariwal
  5. Chitwan Saharia
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Mehdi Mirza
  9. Max Welling
  10. Kaiming He

Who trusts Rodrigo Castellon overall

  1. Yonatan Shafir
  2. Liucheng Hu

Papers from Rodrigo Castellon's perspective

Ordered by how strongly the researchers Rodrigo Castellon 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers