Hanno Scharr

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 14 papers; trusts 193 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Hanno Scharr trusts overall

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

  1. Massimo Minervini
  2. Victor S. Lempitsky
  3. Sotirios A. Tsaftaris
  4. Xuming He
  5. David G. Lowe
  6. Andrew Zisserman
  7. Luminita A. Vese
  8. Tony F. Chan
  9. Jean-Michel Pape
  10. Matthias Heiler

Who trusts Hanno Scharr overall

  1. Massimo Minervini
  2. Jean-Michel Pape
  3. Mario Valerio Giuffrida
  4. Sotirios A. Tsaftaris
  5. Christian Klukas
  6. Andreas Fischbach
  7. Achim Walter
  8. Mengye Ren
  9. Bernardino Romera-Paredes
  10. Jeffrey A. Cruz

Papers from Hanno Scharr's perspective

Ordered by how strongly the researchers Hanno Scharr 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. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers