Ali Erol

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ali Erol trusts overall

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

  1. Ying Wu
  2. John Y. Lin
  3. Paul A. Viola
  4. B. Stenger
  5. Vassilis Athitsos
  6. Eng-Jon Ong
  7. Mathias Kölsch
  8. M. Bray
  9. Thomas S. Huang
  10. Thomas Baltzer Moeslund

Who trusts Ali Erol overall

  1. Markus Oberweger
  2. I. Oikonomidis
  3. Jesus Suarez
  4. P. PramodKumar
  5. Luca Ballan
  6. Srinath Sridhar
  7. Javier Romero
  8. Dimitrios Tzionas
  9. Ronald Poppe
  10. Saiwen Wang

Papers from Ali Erol's perspective

Ordered by how strongly the researchers Ali Erol 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. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Histograms of oriented gradients for human detection
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers