Michael Firman

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 1,016 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Firman trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Kevin Lai
  5. Alex Krizhevsky
  6. Shuran Song
  7. Jianxiong Xiao
  8. Derek Hoiem
  9. David G. Lowe
  10. Diederik P. Kingma

Who trusts Michael Firman overall

  1. Angela Dai
  2. Jiajun Wu
  3. Xingyuan Sun
  4. Binh-Son Hua
  5. Sergey I. Nikolenko
  6. Gernot Riegler
  7. Christopher Bongsoo Choy
  8. Lubor Ladicky
  9. Chaozheng Wu
  10. Quang-Hieu Pham

Papers from Michael Firman's perspective

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

Their papers