Michael Hornacek

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Hornacek trusts overall

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

  1. Connelly Barnes
  2. Thomas Brox
  3. Christoph Vogel
  4. Frédéric Huguet
  5. Ye Zhang
  6. Simon Hadfield
  7. Antoine Letouzey
  8. Eli Shechtman
  9. Jitendra Malik
  10. Andreas Wedel

Who trusts Michael Hornacek overall

  1. Moritz Menze
  2. Sudheendra Vijayanarasimhan
  3. Pichao Wang
  4. Andreas Geiger
  5. Susanna Ricco
  6. Wanqing Li

Papers from Michael Hornacek's perspective

Ordered by how strongly the researchers Michael Hornacek 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers