Helmut Grabner

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 6 papers; trusts 440 researchers and is trusted by 1,469 researchers here, as inferred from the citation graph.

Subfields

Whom Helmut Grabner trusts overall

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

  1. Shai Avidan
  2. Robert E. Schapire
  3. Yoav Freund
  4. Paul A. Viola
  5. David G. Lowe
  6. Fatih Murat Porikli
  7. Nick Littlestone
  8. Jerome H. Friedman
  9. Navneet Dalal
  10. Stephen Grossberg

Who trusts Helmut Grabner overall

  1. Ming-Hsuan Yang
  2. Naiyan Wang
  3. Yi Wu
  4. Zdenek Kalal
  5. Boris Babenko
  6. Bastian Leibe
  7. Siyi Li
  8. Xi Li
  9. Dit-Yan Yeung
  10. Kaihua Zhang

Papers from Helmut Grabner's perspective

Ordered by how strongly the researchers Helmut Grabner 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers