Kyle Krafka

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Krafka trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ilya Sutskever
  4. Aditya Khosla
  5. Ross B. Girshick
  6. Oriol Vinyals
  7. Tadas Baltrusaitis
  8. Roberto Valenti
  9. Yangqing Jia
  10. Yoshua Bengio

Who trusts Kyle Krafka overall

  1. Xucong Zhang
  2. Petr Kellnhofer
  3. Adrià Recasens
  4. Tobias Fischer
  5. Chi Zhang
  6. Ruohan Zhang
  7. Yusuke Sugano
  8. Tien Dat Nguyen
  9. Mario Fritz
  10. Simon Stent

Papers from Kyle Krafka's perspective

Ordered by how strongly the researchers Kyle Krafka 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 Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers