Martin Simon

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 346 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Simon trusts overall

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

  1. Bo Li
  2. Ross B. Girshick
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Joseph Redmon
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Charles Ruizhongtai Qi
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Martin Simon overall

  1. Eduardo Arnold
  2. Sourabh Vora
  3. Liquan Zhao
  4. Alex H. Lang
  5. Senthil Kumar Yogamani
  6. Yan Yan
  7. Chenhang He
  8. Waleed Ali
  9. Jiajun Deng
  10. Jie Zhou

Papers from Martin Simon's perspective

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

Their papers