Larisa Markeeva

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 4 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Larisa Markeeva 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. Yann LeCun
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. David G. Lowe
  9. Christian Szegedy
  10. Andrew Zisserman

Papers from Larisa Markeeva's perspective

Ordered by how strongly the researchers Larisa Markeeva 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers