Kevin Smith

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 226 researchers and is trusted by 374 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Smith trusts overall

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

  1. Andrea Vedaldi
  2. Jianguo Zhang
  3. Jianbo Shi
  4. Jitendra Malik
  5. Pedro F. Felzenszwalb
  6. Geoffrey E. Hinton
  7. Jamie Shotton
  8. Alex Krizhevsky
  9. Brian Fulkerson
  10. Kaiming He

Who trusts Kevin Smith overall

  1. Wenguan Wang
  2. Liang-Chieh Chen
  3. Dingwen Zhang
  4. David Stutz
  5. Huchuan Lu
  6. Jianbing Shen
  7. Radhakrishna Achanta
  8. Dan Claudiu Ciresan
  9. Chunhua Shen
  10. Anurag Arnab

Papers from Kevin Smith's perspective

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

Their papers