Steven L. Martin

Computer Vision and Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Steven L. Martin trusts overall

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

  1. Neil D. Lawrence
  2. Charles M. Bishop
  3. Lucas Kovar
  4. Kristen Grauman
  5. Hedvig Kjellström
  6. Yan Li
  7. Radford M. Neal

Who trusts Steven L. Martin overall

  1. Neil D. Lawrence
  2. Daniel Holden
  3. William V. Baxter
  4. Raquel Urtasun
  5. David J. Fleet
  6. Asha Viswanath
  7. Mykhaylo Andriluka
  8. Jack M. Wang
  9. Félix G. Harvey
  10. Robert W. Sumner

Papers from Steven L. Martin's perspective

Ordered by how strongly the researchers Steven L. Martin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers