Elmar Eisemann

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Elmar Eisemann trusts overall

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

  1. L. V. D. van der Maaten
  2. Josh Tenenbaum
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. David G. Lowe
  6. Alex Krizhevsky
  7. Vin de Silva
  8. Yoshua Bengio
  9. Marius Muja
  10. Sam T. Roweis

Who trusts Elmar Eisemann overall

  1. Sylvain Paris
  2. Frédo Durand
  3. Yu-Wing Tai
  4. Jian Yao
  5. Soonmin Bae
  6. Tom Mertens
  7. Kin Gwn Lore
  8. Lu Yuan
  9. Yichang Shih
  10. Amit K. Agrawal

Papers from Elmar Eisemann's perspective

Ordered by how strongly the researchers Elmar Eisemann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Going deeper with convolutions

Their papers