Carlos Oscar Sánchez Sorzano

Computer Vision and Pattern Recognition · 2004–2021

A researcher in the Science corpus: 10 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Oscar Sánchez Sorzano trusts overall

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

  1. Sam T. Roweis
  2. Aapo Hyvärinen
  3. Patrik O. Hoyer
  4. Lawrence K. Saul
  5. Bernd Fritzke
  6. Teuvo Kohonen
  7. Bernhard Schölkopf
  8. Daniel D. Lee
  9. Pierre Baldi
  10. Manoranjan Dash

Who trusts Carlos Oscar Sánchez Sorzano overall

  1. Sjors H. W. Scheres
  2. Mark Holden
  3. András P. Keszei
  4. Kai Zhang
  5. Ignacio Arganda-Carreras
  6. Mateus Espadoto
  7. Eftychios E. Protopapadakis
  8. Shaoxia Chen
  9. Benjamin Berkels
  10. Thomas Martin Deserno

Papers from Carlos Oscar Sánchez Sorzano's perspective

Ordered by how strongly the researchers Carlos Oscar Sánchez Sorzano 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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