Rosen Diankov

Computer Vision and Pattern Recognition · 2008–2010

A researcher in the Science corpus: 4 papers; trusts 169 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Rosen Diankov trusts overall

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

  1. Jirí Matousek
  2. James J. Kuffner Jr.
  3. Andrew T. Miller
  4. Tomasz Malisiewicz
  5. David G. Lowe
  6. Zhi-Quan Tom Luo
  7. R. Fikes
  8. Steven M. LaValle
  9. Peter K. Allen
  10. Alexei A. Efros

Who trusts Rosen Diankov overall

  1. Andy Zeng
  2. Marcus Gualtieri
  3. Hema Swetha Koppula
  4. Andreas ten Pas
  5. Berk Çalli
  6. Caelan Reed Garrett
  7. Shuran Song
  8. Ashutosh Saxena
  9. John Schulman
  10. Siddhartha S. Srinivasa

Papers from Rosen Diankov's perspective

Ordered by how strongly the researchers Rosen Diankov 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Attention is All you Need (Neural Information Processing Systems)
  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