Ben Mussay

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Mussay trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Karen Simonyan
  5. Vladimir Naumovich Vapnik
  6. Kaiming He
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Andrew Zisserman
  10. Song Han

Who trusts Ben Mussay overall

  1. Marwa El Halabi
  2. Mao Ye
  3. Suraj Srinivas
  4. Karsten Roth
  5. Jingtong Su
  6. Simon Lacoste-Julien
  7. Lemeng Wu

Papers from Ben Mussay's perspective

Ordered by how strongly the researchers Ben Mussay 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers