Matthew A. Turk

Computer Vision and Pattern Recognition · Pattern Recognition Letters · 2004–2014

A researcher in the Science corpus: 4 papers; trusts 246 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew A. Turk trusts overall

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

  1. David G. Lowe
  2. Paul A. Viola
  3. Sharon L. Oviatt
  4. Krystian Mikolajczyk
  5. Cordelia Schmid
  6. Gemma A. Calvert
  7. Georg S. W. Klein
  8. Andrew Zisserman
  9. Vincent Lepetit
  10. Matthew A. Brown

Who trusts Matthew A. Turk overall

  1. Yong Jae Lee
  2. Jesus Suarez
  3. Cheng Li
  4. Chong Wang
  5. Arpit Mittal
  6. Dana Lahat
  7. Ali Erol
  8. Xianda Zhang
  9. Jiayang Wu
  10. Kristen Grauman

Papers from Matthew A. Turk's perspective

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

Their papers