Enver Sangineto

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 1,106 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Enver Sangineto trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Enver Sangineto overall

  1. Aliaksandr Siarohin
  2. Aleksandr Ermolov
  3. Jian Zhao
  4. Adrien Bardes
  5. Nicu Sebe
  6. Stéphane Lathuilière
  7. K. J. Joseph
  8. Sergey Tulyakov
  9. Zhi Chen
  10. Elisa Ricci

Papers from Enver Sangineto's perspective

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

Their papers