Neil G. Smith

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 6 papers; trusts 426 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Neil G. Smith trusts overall

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

  1. Yi Wu
  2. Zdenek Kalal
  3. Martin Danelljan
  4. Geoffrey E. Hinton
  5. João F. Henriques
  6. Ming-Hsuan Yang
  7. Alex Krizhevsky
  8. Kaiming He
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Neil G. Smith overall

  1. Martin Danelljan
  2. Matthias Müller
  3. Goutam Bhat
  4. Yiming Li
  5. Ziyuan Huang
  6. Zhenhua Feng
  7. Ning Wang
  8. Heng Fan
  9. Vincent Casser
  10. Christoph Mayer

Papers from Neil G. Smith's perspective

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

Their papers