Stephan Weiss

Computer Vision and Pattern Recognition · IEEE International Conference on Robotics and Automation · 2010–2014

A researcher in the Science corpus: 9 papers; trusts 59 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Weiss trusts overall

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

  1. Ezio Malis
  2. Georg S. W. Klein
  3. Christopher Evans
  4. S. Microtechnique
  5. Jonathan Kelly
  6. Andrew J. Davison
  7. Nathan Michael
  8. Daniel Mellinger
  9. Stefano Soatto
  10. Eagle Jones

Who trusts Stephan Weiss overall

  1. Markus Achtelik
  2. Simon Lynen
  3. Michael Burri
  4. Roland Yves Siegwart
  5. Vijay R. Kumar
  6. Stefan Leutenegger
  7. Guoquan Huang
  8. Fadri Furrer
  9. Davide Scaramuzza
  10. Nathan Michael

Papers from Stephan Weiss's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers