Mark Joseph Cummins

Computer Vision and Pattern Recognition · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 357 researchers and is trusted by 564 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Joseph Cummins trusts overall

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

  1. Josef Sivic
  2. David Nistér
  3. David G. Lowe
  4. Christopher Evans
  5. Andrew Zisserman
  6. Marius Muja
  7. Herv'e J'egou
  8. Chanop Silpa-Anan
  9. Paul M. Newman
  10. James Philbin

Who trusts Mark Joseph Cummins overall

  1. Alex Kendall
  2. Martin Magnusson
  3. Giseop Kim
  4. Niko Sünderhauf
  5. Torsten Sattler
  6. Michael Milford
  7. Paul M. Newman
  8. Dorian Gálvez-López
  9. Roberto Cipolla
  10. Zetao Chen

Papers from Mark Joseph Cummins's perspective

Ordered by how strongly the researchers Mark Joseph Cummins 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. ImageNet: A large-scale hierarchical image database
  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. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers