Stephen G. Kobourov

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen G. Kobourov trusts overall

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

  1. Chris Walshaw
  2. Andreas Noack
  3. Yifan Hu
  4. Jianbo Shi
  5. Ron Davidson
  6. Mathieu Bastian
  7. Craig Gotsman
  8. Jitendra Malik
  9. David Harel
  10. Emden R. Gansner

Who trusts Stephen G. Kobourov overall

  1. Anastasia Baryshnikova
  2. Ailin Deng
  3. Bryan Hooi

Papers from Stephen G. Kobourov's perspective

Ordered by how strongly the researchers Stephen G. Kobourov 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. 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. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. A Heuristic for Graph Drawing
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers