Christopher Zach

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 9 papers; trusts 280 researchers and is trusted by 2,661 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Zach trusts overall

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

  1. Antonin Chambolle
  2. David Nistér
  3. David G. Lowe
  4. S. M. Seitz
  5. Venu Madhav Govindu
  6. Stanley J. Osher
  7. Marc Pollefeys
  8. Tomás Pajdla
  9. Tony F. Chan
  10. Lubor Ladicky

Who trusts Christopher Zach overall

  1. Christian Häne
  2. Limin Wang
  3. Christoph Feichtenhofer
  4. Marc Pollefeys
  5. Thomas Brox
  6. Antonino Furnari
  7. Jitendra Malik
  8. Torsten Sattler
  9. Nikolay Savinov
  10. Andrew Zisserman

Papers from Christopher Zach's perspective

Ordered by how strongly the researchers Christopher Zach 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers