Richard Souvenir

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Souvenir trusts overall

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

  1. Tsung-Yi Lin
  2. Hal Daumé Iii
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Kaiming He
  7. Bolei Zhou
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. James Hays

Who trusts Richard Souvenir overall

  1. Nam N. Vo
  2. Zhedong Zheng
  3. Liu Liu
  4. Yicong Tian
  5. Tobias Weyand
  6. James Hays
  7. Sixing Hu
  8. Menghua Zhai
  9. Nathan Jacobs
  10. Tingyu Wang

Papers from Richard Souvenir's perspective

Ordered by how strongly the researchers Richard Souvenir 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. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  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