Marina E. Plissiti

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marina E. Plissiti trusts overall

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

  1. David Stutz
  2. Alex Krizhevsky
  3. Artem Babenko
  4. Bharath Hariharan
  5. Yannis Kalantidis
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Victor S. Lempitsky
  10. Pablo Arbeláez

Papers from Marina E. Plissiti's perspective

Ordered by how strongly the researchers Marina E. Plissiti 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers