Mark Sabini

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Sabini trusts overall

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

  1. Leon A. Gatys
  2. Satoshi Iizuka
  3. Bolei Zhou
  4. Deepak Pathak
  5. Guilin Liu
  6. Alexander S. Ecker
  7. Geoffrey E. Hinton
  8. Jeff Donahue
  9. Edgar Simo-Serra
  10. Philipp Krahenbuhl

Papers from Mark Sabini's perspective

Ordered by how strongly the researchers Mark Sabini 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers