Armin Kappeler

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 236 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Armin Kappeler trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Andrew L. Maas
  6. Andrej Karpathy
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Armin Kappeler overall

  1. Marcella Cornia
  2. Nantheera Anantrasirichai
  3. Zhihao Wang
  4. Mehdi S. M. Sajjadi
  5. Michael T. McCann
  6. Matteo Stefanini
  7. Yapeng Tian
  8. Alice Lucas
  9. Younghyun Jo
  10. Ren Yang

Papers from Armin Kappeler's perspective

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

Their papers