Amit Singer

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 8 papers; trusts 112 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Singer trusts overall

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

  1. Mikhail Belkin
  2. Partha Niyogi
  3. Ronald R. Coifman
  4. Iain M. Johnstone
  5. David L. Donoho
  6. Christoph Helmberg
  7. Sam T. Roweis
  8. Stéphane Lafon
  9. S. Burer
  10. Debra S. Goldberg

Who trusts Amit Singer overall

  1. Jacobus W. Portegies
  2. Dominique C. Perrault-Joncas
  3. Eddie Aamari
  4. Leo Liberti
  5. Yuejie Chi
  6. Mikhail Belkin
  7. Li Yi
  8. Ronald R. Coifman
  9. Xiuyuan Cheng
  10. Tamir Bendory

Papers from Amit Singer's perspective

Ordered by how strongly the researchers Amit Singer 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. Distinctive Image Features from Scale-Invariant Keypoints
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers