William R. Mark

Computer Vision and Pattern Recognition · 2002–2018

A researcher in the Science corpus: 4 papers; trusts 70 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom William R. Mark trusts overall

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

  1. Kaiming He
  2. Jia Deng
  3. Jimmy Ba
  4. Song Han
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. François Chollet
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Paul A. Viola

Who trusts William R. Mark overall

  1. Mark J. Harris
  2. Naga K. Govindaraju
  3. Zhe Fan
  4. Mohammad Rostami
  5. Oliver Fluck
  6. Ian Buck
  7. Mark S. Seidenberg
  8. Jens Harald Krüger
  9. William V. Baxter
  10. Feng Qiu

Papers from William R. Mark's perspective

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

Their papers