Eric Brachmann

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 710 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Brachmann trusts overall

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

  1. David G. Lowe
  2. Jamie Shotton
  3. Karen Simonyan
  4. Andrew Zisserman
  5. Diederik P. Kingma
  6. Kaiming He
  7. Alex Kendall
  8. Ross B. Girshick
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Eric Brachmann overall

  1. Gu Wang
  2. Torsten Sattler
  3. Carsten Rother
  4. Zhigang Li
  5. Ignasi Clavera Gilaberte
  6. Bugra Tekin
  7. Yu Xiang
  8. Mahdi Rad
  9. Kiru Park
  10. Xiangyang Ji

Papers from Eric Brachmann's perspective

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

Their papers