Markus Weber

Computer Vision and Pattern Recognition · with Perona · 2000–2019

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 3,058 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Weber trusts overall

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

  1. Geoffrey E. Hinton
  2. Max Welling
  3. Kaiming He
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Tsung-Yi Lin
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Pietro Perona

Who trusts Markus Weber overall

  1. Li Fei-Fei
  2. Rob Fergus
  3. Pietro Perona
  4. Yong Jae Lee
  5. Cordelia Schmid
  6. Till Quack
  7. Andrew Zisserman
  8. Abhinav Kumar Gupta
  9. Kristen Grauman
  10. Bernt Schiele

Papers from Markus Weber's perspective

Ordered by how strongly the researchers Markus Weber 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers