Brian McFee

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 8 papers; trusts 83 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Brian McFee trusts overall

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

  1. Thorsten Joachims
  2. Matthias Mauch
  3. Kilian Q. Weinberger
  4. D. Ellis
  5. Justin Salamon
  6. Geoffrey E. Hinton
  7. Ioannis Tsochantaridis
  8. Alex Krizhevsky
  9. Jaka Demsar
  10. Eric J. Humphrey

Who trusts Brian McFee overall

  1. Brian Kulis
  2. Hyunsin Park
  3. Tong Xiao
  4. Andros Tjandra
  5. Justin Salamon
  6. Aurélien Bellet
  7. Vincent Lostanlen
  8. Minz Won
  9. Ruohan Gao
  10. Aäron van den Oord

Papers from Brian McFee's perspective

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

Their papers