Martin O. Leach

Computer Vision and Pattern Recognition · 1999–2019

A researcher in the Science corpus: 7 papers; trusts 75 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Martin O. Leach trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. David G. Lowe
  5. Hugo Larochelle
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Marc'Aurelio Ranzato
  9. Rob Fergus
  10. Quoc V. Le

Who trusts Martin O. Leach overall

  1. Torsten Rohlfing
  2. Daniel Rueckert
  3. Mark Holden
  4. Junwei Han
  5. Guha Balakrishnan
  6. Heung-Il Suk
  7. Julia Anne Schnabel
  8. Francisco P. M. Oliveira

Papers from Martin O. Leach's perspective

Ordered by how strongly the researchers Martin O. Leach 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers