Marcus Abate

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 301 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Marcus Abate trusts overall

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

  1. David Nistér
  2. Frank Dellaert
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Yann LeCun
  10. David G. Lowe

Who trusts Marcus Abate overall

  1. Antoni Rosinol
  2. Zachary Teed
  3. Yulun Tian
  4. Yun Chang
  5. Youqi Pan
  6. Carlos Campos
  7. Nathan Hughes
  8. Jonas Frey

Papers from Marcus Abate's perspective

Ordered by how strongly the researchers Marcus Abate 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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