Frank Michel

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 256 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Michel trusts overall

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

  1. David G. Lowe
  2. Jamie Shotton
  3. Vladimir Kolmogorov
  4. Stefan Hinterstoißer
  5. Kaiming He
  6. Ross B. Girshick
  7. Eric Brachmann
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Diederik P. Kingma

Who trusts Frank Michel overall

  1. Eric Brachmann
  2. Yu Xiang
  3. Bugra Tekin
  4. Yinlin Hu
  5. Ignasi Clavera Gilaberte
  6. Sida Peng
  7. Carsten Rother
  8. Kiru Park
  9. Georgios Pavlakos
  10. Yisheng He

Papers from Frank Michel's perspective

Ordered by how strongly the researchers Frank Michel 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. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  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. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers