Tobias Fischer

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 423 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Fischer trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alexei A. Efros
  6. Yoshua Bengio
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Andrew L. Maas
  10. Yann LeCun

Who trusts Tobias Fischer overall

  1. Petr Kellnhofer
  2. Adrià Recasens

Papers from Tobias Fischer's perspective

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

Their papers