Martin Jägersand

Computer Vision and Pattern Recognition · 1997–2020

A researcher in the Science corpus: 10 papers; trusts 1,151 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Jägersand trusts overall

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

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

Who trusts Martin Jägersand overall

  1. Sergey Levine
  2. Danica Kragic
  3. Yunhui Liu
  4. Chelsea Finn
  5. Henrik Iskov Christensen
  6. Suraj Nair
  7. Peter Pastor
  8. Hesheng Wang
  9. Fereshteh Sadeghi
  10. Ali Ayub

Papers from Martin Jägersand's perspective

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

Their papers