Olga Vesselova

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olga Vesselova trusts overall

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

  1. Radford M. Neal
  2. Jana Kosecka
  3. James Hays
  4. Frederik Schaffalitzky
  5. Matthew A. Brown
  6. Dirk Brockmann
  7. David G. Lowe
  8. Aaron Clauset
  9. Marta C. González

Who trusts Olga Vesselova overall

  1. Yunpeng Li
  2. Amir Zamir
  3. Julian McAuley
  4. Chao-Yeh Chen
  5. Takeshi Kurashima

Papers from Olga Vesselova's perspective

Ordered by how strongly the researchers Olga Vesselova 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. Pattern Recognition and Machine Learning
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers