Marta Sanzari

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 150 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Marta Sanzari trusts overall

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

  1. Radford M. Neal
  2. David G. Lowe
  3. Navneet Dalal
  4. Camillo Jose Taylor
  5. Hermann Karcher
  6. Andrew Zisserman
  7. Jitendra Malik
  8. Serge J. Belongie
  9. Geoffrey E. Hinton
  10. Yi Yang

Who trusts Marta Sanzari overall

  1. Grégory Rogez
  2. Muhammed Kocabas
  3. Angjoo Kanazawa
  4. Bugra Tekin
  5. Jiefeng Li
  6. Philippe Weinzaepfel
  7. Salih Karagoz
  8. Michael J. Black
  9. Cordelia Schmid
  10. Pablo Márquez-Neila

Papers from Marta Sanzari's perspective

Ordered by how strongly the researchers Marta Sanzari 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. Going deeper with convolutions

Their papers