Cameron Trotter

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cameron Trotter trusts overall

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

  1. Ben. G. Weinstein
  2. Kaiming He
  3. Ilya Loshchilov
  4. Andrew Gilman
  5. Soren Bouma
  6. X. Zhang
  7. Krista Hupman
  8. Frank Hutter
  9. Shaoqing Ren
  10. Matthew D. M. Pawley

Who trusts Cameron Trotter overall

  1. Lei Ke

Papers from Cameron Trotter's perspective

Ordered by how strongly the researchers Cameron Trotter 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers