Chris H. Bahnsen

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 412 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chris H. Bahnsen trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Tsung-Yi Lin
  7. Jia Deng
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Chris H. Bahnsen overall

  1. David Vázquez
  2. Claudio Michaelis
  3. Antonio M. López

Papers from Chris H. Bahnsen's perspective

Ordered by how strongly the researchers Chris H. Bahnsen 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. 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