Aaron Steinfeld

Computer Vision and Pattern Recognition · 2006–2021

A researcher in the Science corpus: 6 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron Steinfeld trusts overall

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

  1. Walter W. Stroup
  2. Michael A. Goodrich
  3. Xiaodi Hou
  4. Simon Baker
  5. Dirk Bernhardt-Walther
  6. T. Fong
  7. Thomas B. Sheridan
  8. Chenlei Guo
  9. Chandrika Jayant
  10. Radhakrishna Achanta

Who trusts Aaron Steinfeld overall

  1. Kristin E. Schaefer
  2. Rowan T. Hughes

Papers from Aaron Steinfeld's perspective

Ordered by how strongly the researchers Aaron Steinfeld 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Saliency Detection: A Spectral Residual Approach (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Trust, self-confidence, and operators' adaptation to automation
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers