Arnold Irschara

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Arnold Irschara trusts overall

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

  1. David Nistér
  2. David G. Lowe
  3. Dorin Comaniciu
  4. Iryna Gordon
  5. Grant Schindler
  6. Ian Simon
  7. Henrik Stewénius
  8. Peter Meer
  9. Matthew A. Brown
  10. Jana Kosecka

Who trusts Arnold Irschara overall

  1. Torsten Sattler
  2. Hyo Jin Kim
  3. Yunpeng Li
  4. Tobias Weyand
  5. Pablo Speciale
  6. Bastian Leibe
  7. Noah Snavely
  8. Johannes L. Schönberger
  9. Song Cao
  10. Marc Pollefeys

Papers from Arnold Irschara's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Scalable Recognition with a Vocabulary Tree
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Mean Shift: A Robust Approach Toward Feature Space Analysis
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers