César Cadena

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 318 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom César Cadena trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yann LeCun
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts César Cadena overall

  1. Lei Tai
  2. Antoni Rosinol
  3. Heng Yang
  4. Nikolay Savinov
  5. Georgios Georgakis
  6. Azim Eskandarian
  7. Philipp Lindenberger
  8. Luca Carlone
  9. Unnat Jain
  10. Bo Yang

Papers from César Cadena's perspective

Ordered by how strongly the researchers César Cadena 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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