Anath Fischer

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Anath Fischer trusts overall

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

  1. Florent Perronnin
  2. Charles Ruizhongtai Qi
  3. Davide Boscaini
  4. Hao Su
  5. Geoffrey E. Hinton
  6. Jonathan Masci
  7. Kaiming He
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Tommi S. Jaakkola

Who trusts Anath Fischer overall

  1. Zhiyuan Zhang
  2. Binh-Son Hua

Papers from Anath Fischer's perspective

Ordered by how strongly the researchers Anath Fischer 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers