Michael Donoser

Computer Vision and Pattern Recognition · 2006–2013

A researcher in the Science corpus: 5 papers; trusts 233 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Donoser trusts overall

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

  1. Krystian Mikolajczyk
  2. Cordelia Schmid
  3. Andrew Zisserman
  4. Navneet Dalal
  5. David G. Lowe
  6. Geoffrey E. Hinton
  7. Ross B. Girshick
  8. Pedro F. Felzenszwalb
  9. Jitendra Malik
  10. Alex Krizhevsky

Who trusts Michael Donoser overall

  1. David Nistér
  2. Dan Deng
  3. Henrik Stewénius
  4. Jan Hendrik Hosang
  5. Ziyu Zhang
  6. Haifeng Liu
  7. Jianping Shi
  8. Xuelong Li
  9. Rodrigo Benenson

Papers from Michael Donoser's perspective

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

Their papers