Horst Possegger

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 154 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Horst Possegger trusts overall

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

  1. Zdenek Kalal
  2. Ming-Hsuan Yang
  3. Arnold M. W. Smeulders
  4. Laura Sevilla-Lara
  5. Yi Wu
  6. Dorin Comaniciu
  7. Boris Babenko
  8. João F. Henriques
  9. Jongwoo Lim
  10. Kaihua Zhang

Who trusts Horst Possegger overall

  1. Martin Danelljan
  2. Luca Bertinetto
  3. Yibing Song
  4. Siyi Li
  5. Lianghua Huang
  6. Tianzhu Zhang
  7. Fahad Shahbaz Khan
  8. Dit-Yan Yeung
  9. Michael Felsberg
  10. Naiyan Wang

Papers from Horst Possegger's perspective

Ordered by how strongly the researchers Horst Possegger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers