John McDonald Jr.

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 6 papers; trusts 197 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom John McDonald Jr. trusts overall

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

  1. Jürgen Sturm
  2. Thomas Whelan
  3. Richard A. Newcombe
  4. Derek Hoiem
  5. Andreas Geiger
  6. Frank Steinbrücker
  7. Geoffrey E. Hinton
  8. Ashutosh Saxena
  9. Jitendra Malik
  10. Nathan Silberman

Who trusts John McDonald Jr. overall

  1. Andrew J. Davison
  2. Thomas Whelan
  3. Ankur Handa
  4. Olaf Kähler
  5. Qian-Yi Zhou
  6. Vladlen Koltun
  7. Hao Wang
  8. Michael Firman
  9. Sergey I. Nikolenko
  10. Mahdi Yazdanpour

Papers from John McDonald Jr.'s perspective

Ordered by how strongly the researchers John McDonald Jr. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Et al
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers