Tatiana G. Novikova

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Tatiana G. Novikova trusts overall

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

  1. Lukás Neumann
  2. Kai Wang
  3. Jiri Matas
  4. Mehryar Mohri
  5. Boris Epshtein
  6. Serge J. Belongie
  7. Pedro F. Felzenszwalb
  8. Fernando C Pereira
  9. Boris Babenko
  10. Eyal Ofek

Who trusts Tatiana G. Novikova overall

  1. Max Jaderberg
  2. Cong Yao
  3. Qixiang Ye
  4. José A. Rodríguez-Serrano
  5. Karen Simonyan
  6. Andrea Vedaldi
  7. Xiang Bai
  8. Andrew Zisserman
  9. Trung Quy Phan
  10. Vibhor Goel

Papers from Tatiana G. Novikova's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Histograms of oriented gradients for human detection
  10. Learning Multiple Layers of Features from Tiny Images

Their papers