Jan Feyereisl

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Feyereisl trusts overall

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

  1. Christoph H. Lampert
  2. Matthew B. Blaschko
  3. Vladimir Naumovich Vapnik
  4. Ioannis Tsochantaridis
  5. Herbert Bay
  6. Simon Lacoste-Julien
  7. Catherine Wah
  8. Lixin Duan
  9. Thomas Hofmann
  10. Thorsten Joachims

Who trusts Jan Feyereisl overall

  1. Saeid Motiian
  2. Zhiyuan Shi
  3. Gianfranco Doretto
  4. Tae-Kyun Kim
  5. Marco Piccirilli

Papers from Jan Feyereisl's perspective

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

Their papers