Philip N. Klein

Computer Vision and Pattern Recognition · 2001–2004

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Philip N. Klein trusts overall

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

  1. Serge J. Belongie
  2. Longin Jan Latecki
  3. Jitendra Malik
  4. Haili Chui
  5. Dennis E. Shasha
  6. Thomas B. Sebastian

Who trusts Philip N. Klein overall

  1. Christopher M. Cyr
  2. Pedro F. Felzenszwalb
  3. Haibin Ling
  4. Xiang Bai
  5. Naif Alajlan
  6. Benjamin B. Kimia
  7. Johan W. H. Tangelder
  8. Anuj Srivastava
  9. Eric Klassen
  10. Joshua D. Schwartz

Papers from Philip N. Klein's perspective

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

Their papers