Mark W. Smith

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark W. Smith trusts overall

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

  1. David G. Lowe
  2. Yasutaka Furukawa
  3. S. M. Seitz
  4. Arko Lucieer
  5. David Nistér
  6. Shimon Ullman
  7. Darren Turner
  8. Richard Szeliski
  9. Andrew Zisserman
  10. Philip H. S. Torr

Who trusts Mark W. Smith overall

  1. Igor V. Florinsky

Papers from Mark W. Smith's perspective

Ordered by how strongly the researchers Mark W. Smith trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers