Jay Yagnik

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 5 papers; trusts 78 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Jay Yagnik trusts overall

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

  1. Andrei Z. Broder
  2. David G. Lowe
  3. Engin Tola
  4. Vincent Lepetit
  5. Pascal Fua
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Ilya Sutskever
  9. Pedro F. Felzenszwalb
  10. Yoshua Bengio

Who trusts Jay Yagnik overall

  1. Radu Timofte
  2. Gang Yu
  3. Sudheendra Vijayanarasimhan
  4. Jingdong Wang
  5. Mathieu Aubry
  6. Kai Han
  7. Xu Jia
  8. Thomas L. Dean
  9. Luc Van Gool
  10. Jonathon Shlens

Papers from Jay Yagnik's perspective

Ordered by how strongly the researchers Jay Yagnik 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Histograms of oriented gradients for human detection
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers