Alexander Weiss

Computer Vision and Pattern Recognition · with Black · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Weiss trusts overall

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

  1. Alexandru O. Balan
  2. Dragomir Anguelov
  3. Varun Ganapathi
  4. Peng Guan
  5. Camillo Jose Taylor
  6. Daphne Koller
  7. Michael J. Black
  8. Leonid Sigal
  9. Volker Blanz
  10. Jonathan A. J. Deutscher

Who trusts Alexander Weiss overall

  1. Thiemo Alldieck
  2. Michael J. Black
  3. Angjoo Kanazawa
  4. Alan Brunton
  5. Georgios Pavlakos
  6. Kevin Qinghong Lin
  7. Silvia Zuffi
  8. Dongping Li
  9. Marcus A. Magnor
  10. Nikos Kolotouros

Papers from Alexander Weiss's perspective

Ordered by how strongly the researchers Alexander Weiss 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Histograms of oriented gradients for human detection

Their papers