Michael Ashikhmin

Computer Vision and Pattern Recognition · 2000–2002

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 796 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Ashikhmin trusts overall

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

  1. Alexei A. Efros
  2. Li-Yi Wei
  3. Thomas K. Leung
  4. Marc Levoy
  5. Jeremy S. De Bonet
  6. Kristin J. Dana
  7. William T. Freeman
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Michael Ashikhmin overall

  1. Sylvain Lefebvre
  2. Alexei A. Efros
  3. Nikos Komodakis
  4. Antonio Criminisi
  5. Jiahui Yu
  6. Christine M. Guillemot
  7. Li-Yi Wei
  8. Laurence Meylan
  9. Connelly Barnes
  10. Darko Pavic

Papers from Michael Ashikhmin's perspective

Ordered by how strongly the researchers Michael Ashikhmin 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers