Olga Veksler

Computer Vision and Pattern Recognition · 2001–2013

A researcher in the Science corpus: 9 papers; trusts 416 researchers and is trusted by 5,009 researchers here, as inferred from the citation graph.

Subfields

Whom Olga Veksler trusts overall

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

  1. Vladimir Kolmogorov
  2. Yuri Boykov
  3. Pedro F. Felzenszwalb
  4. Carsten Rother
  5. Dan Huttenlocher
  6. Richard Szeliski
  7. Ramin Zabih
  8. Daniel Scharstein
  9. Jitendra Malik
  10. Paul A. Viola

Who trusts Olga Veksler overall

  1. Qingxiong Yang
  2. Heiko Hirschmüller
  3. Dim P. Papadopoulos
  4. Liang-Chieh Chen
  5. Vladimir Kolmogorov
  6. Ce Liu
  7. Kaiming He
  8. Daniel Scharstein
  9. Luc Van Gool
  10. Andrew Zisserman

Papers from Olga Veksler's perspective

Ordered by how strongly the researchers Olga Veksler 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers