Martin Fischer

Computer Vision and Pattern Recognition · with Armeni · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Fischer trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Yoshua Bengio
  8. Tsung-Yi Lin
  9. Andrew Zisserman
  10. David G. Lowe

Who trusts Martin Fischer overall

  1. Antoni Rosinol
  2. Charles Ruizhongtai Qi

Papers from Martin Fischer's perspective

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

Their papers