Hanno Ackermann

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 2 papers; trusts 192 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanno Ackermann trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Shaoqing Ren
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Hanno Ackermann overall

  1. Thiemo Alldieck
  2. Angjoo Kanazawa

Papers from Hanno Ackermann's perspective

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

Their papers