William P. Maddern

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 275 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom William P. Maddern trusts overall

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

  1. Andreas Geiger
  2. David G. Lowe
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Kaiming He
  8. Evan Shelhamer
  9. Christopher Evans
  10. Yann LeCun

Who trusts William P. Maddern overall

  1. Giseop Kim
  2. Ekim Yurtsever
  3. Dan Barnes
  4. Torsten Sattler
  5. Pranav Singh Chib
  6. Mikaela Angelina Uy
  7. Harshitha Machiraju
  8. Edouard Leurent
  9. Simon Hecker
  10. Saifullahi Aminu Bello

Papers from William P. Maddern's perspective

Ordered by how strongly the researchers William P. Maddern 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers