Michael Hofmann

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Hofmann trusts overall

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

  1. Dariu M. Gavrila
  2. Lawrence R. Rabiner
  3. Leonid Sigal
  4. Greg Mori
  5. Deva Ramanan
  6. A. G. Ramm
  7. Ioannis A. Kakadiaris
  8. Jitendra Malik
  9. Mykhaylo Andriluka
  10. Gregory Shakhnarovich

Who trusts Michael Hofmann overall

  1. Nikolaos Sarafianos
  2. Bogdan Andrei Boteanu
  3. Ching-Hang Chen
  4. Vasileios Belagiannis
  5. Xiaohan Nie
  6. Bogdan Emanuel Ionescu

Papers from Michael Hofmann's perspective

Ordered by how strongly the researchers Michael Hofmann 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers