Kevin Karsch

Computer Vision and Pattern Recognition · 2011–2014

A researcher in the Science corpus: 4 papers; trusts 323 researchers and is trusted by 399 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Karsch trusts overall

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

  1. Ce Liu
  2. Antonio Torralba
  3. Aude Oliva
  4. Andrea Vedaldi
  5. Andrew Zisserman
  6. Jitendra Malik
  7. Derek Hoiem
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Kevin Karsch overall

  1. David F. Fouhey
  2. Fangchang Ma
  3. Abhinav Kumar Gupta
  4. Clément Godard
  5. Miaomiao Liu
  6. Chunhua Shen
  7. Fayao Liu
  8. Ira Kemelmacher-Shlizerman
  9. Diana Wofk
  10. Dan Xu

Papers from Kevin Karsch's perspective

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

Their papers