Jonathan Taylor

Computer Vision and Pattern Recognition · with Fitzgibbon · 2012–2016

A researcher in the Science corpus: 7 papers; trusts 61 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Taylor trusts overall

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

  1. Jamie Shotton
  2. Ross B. Girshick
  3. Trevor J. Hastie
  4. Cem Keskin
  5. Varun Ganapathi
  6. Dorin Comaniciu
  7. Andrew William Fitzgibbon
  8. Yali Amit
  9. Toby Sharp
  10. Vincent Lepetit

Who trusts Jonathan Taylor overall

  1. Liuhao Ge
  2. Gerard Pons-Moll
  3. Jamie Shotton
  4. Eric Brachmann
  5. Markus Oberweger
  6. Zerong Zheng
  7. Angjoo Kanazawa
  8. Tao Yu
  9. Xiao Sun
  10. Mohamed Omran

Papers from Jonathan Taylor's perspective

Ordered by how strongly the researchers Jonathan Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers