Simon Niklaus

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 1,463 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Niklaus trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Yann LeCun
  8. Ross B. Girshick
  9. Sergey Ioffe
  10. Christian Szegedy

Who trusts Simon Niklaus overall

  1. Wenbo Bao
  2. Zhewei Huang
  3. Feng Liu
  4. Myungsub Choi
  5. Wei-Sheng Lai
  6. Tianyuan Zhang
  7. Zhengqi Li
  8. Huaizu Jiang
  9. Tae-Hyun Oh
  10. Ming-Hsuan Yang

Papers from Simon Niklaus's perspective

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

Their papers