Thomas Bird

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 179 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Bird trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Tim Salimans
  5. Kaiming He
  6. Danilo Jimenez Rezende
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Jonathan Ho
  10. Max Welling

Who trusts Thomas Bird overall

  1. Shifeng Zhang
  2. Yibo Yang
  3. Jonathan Ho
  4. Zhihao Duan
  5. F. Kingma
  6. Ning Kang
  7. Diederik P. Kingma
  8. Siyu Wang
  9. Robert Bamler
  10. Emiel Hoogeboom

Papers from Thomas Bird's perspective

Ordered by how strongly the researchers Thomas Bird 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers