Aliaksei Sandryhaila

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Aliaksei Sandryhaila trusts overall

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

  1. Stéphane Mallat
  2. Mikhail Belkin
  3. Fei Wang
  4. Sam T. Roweis
  5. Julian Besag
  6. E.J. Candes
  7. Mark Newman
  8. Ronald R. Coifman
  9. Partha Niyogi
  10. David K. Hammond

Who trusts Aliaksei Sandryhaila overall

  1. Antonio Ortega
  2. Aamir Anis
  3. Siheng Chen
  4. Mikhail Tsitsvero
  5. José M. F. Moura
  6. Nicolas Tremblay
  7. Nathanael Perraudin
  8. Pierre Vandergheynst
  9. Fernando Gama
  10. Pascal Frossard

Papers from Aliaksei Sandryhaila's perspective

Ordered by how strongly the researchers Aliaksei Sandryhaila 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers