David M. Chen

Computer Vision and Pattern Recognition · with Grzeszczuk · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Chen trusts overall

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

  1. David G. Lowe
  2. David Nistér
  3. Matthijs C. Dorst
  4. Matthew A. Brown
  5. Herv'e J'egou
  6. Radford M. Neal
  7. Grant Schindler
  8. Herbert Bay
  9. Andrew Zisserman
  10. Henrik Stewénius

Who trusts David M. Chen overall

  1. Andrew Zisserman
  2. Arsha Nagrani
  3. Joon Son Chung
  4. Max Jaderberg
  5. Relja Arandjelovi'c
  6. Weidi Xie
  7. Wen-gang Zhou
  8. Andrea Vedaldi
  9. Tobias Weyand
  10. Karen Simonyan

Papers from David M. Chen's perspective

Ordered by how strongly the researchers David M. Chen 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. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers