Martin Garbade

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 546 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Garbade trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Ross B. Girshick
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Andrew Zisserman
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Martin Garbade overall

  1. Mengyuan Liu
  2. Wenbin Du
  3. Congqi Cao
  4. Xu Yan
  5. Junsong Yuan
  6. Yali Wang
  7. Yifan Zhang
  8. Yiming Li
  9. Yunpeng Zhang
  10. Anh-Quan Cao

Papers from Martin Garbade's perspective

Ordered by how strongly the researchers Martin Garbade 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  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