N. Petkov

Computer Vision and Pattern Recognition · 2003–2015

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom N. Petkov trusts overall

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

  1. John F. Canny
  2. Martin J. Wainwright
  3. Tomáš Werner
  4. Carlo Tomasi
  5. John G. Daugman
  6. M. J. Turner
  7. Stanley J. Osher
  8. Dorin Comaniciu
  9. Tommi S. Jaakkola
  10. Song Wang

Who trusts N. Petkov overall

  1. Giuseppe Papari
  2. Ray Hidayat
  3. Xavier Soria Poma
  4. Honglie Chen

Papers from N. Petkov's perspective

Ordered by how strongly the researchers N. Petkov 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers