Tanzeem Choudhury

Computer Vision and Pattern Recognition · 2005–2012

A researcher in the Science corpus: 10 papers; trusts 30 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Tanzeem Choudhury trusts overall

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

  1. Paul A. Viola
  2. Ling Bao
  3. David G. Lowe
  4. Dekang Lin
  5. Jonathan Lester
  6. Radford M. Neal
  7. Nicky Kern
  8. Robert E. Schapire
  9. Douglas A. Reynolds
  10. Stephen S. Intille

Who trusts Tanzeem Choudhury overall

  1. Jennifer R. Kwapisz
  2. Geoffrey F. Miller
  3. Sunny Consolvo
  4. Diane Joyce Cook
  5. Andreas Bulling
  6. John W. Staudenmayer
  7. Predrag V. Klasnja
  8. Vincent Wenchen Zheng
  9. Stephen J. Preece
  10. Ekaterina H. Spriggs

Papers from Tanzeem Choudhury's perspective

Ordered by how strongly the researchers Tanzeem Choudhury 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers