Phil Ammirato

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 226 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Phil Ammirato trusts overall

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

  1. Yasutaka Furukawa
  2. Karen Simonyan
  3. Kaiming He
  4. Ronald J. Williams
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Johannes L. Schönberger
  10. Yann LeCun

Who trusts Phil Ammirato overall

  1. Arsalan Mousavian
  2. João F. Henriques
  3. Debidatta Dwibedi
  4. Santhosh K. Ramakrishnan
  5. Andrea Vedaldi
  6. Jonah Philion
  7. Kristen Grauman
  8. Dinesh Jayaraman
  9. Ishan Misra
  10. Thomas Roddick

Papers from Phil Ammirato's perspective

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

Their papers