Yury Nahshan

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yury Nahshan trusts overall

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

  1. Raghuraman Krishnamoorthi
  2. Markus Nagel
  3. M. Powell
  4. R. Goldman
  5. Darryl Dexu Lin
  6. Kaiming He
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Itay Hubara

Who trusts Yury Nahshan overall

  1. Markus Nagel
  2. Elias Frantar
  3. Yelysei Bondarenko
  4. Marios Fournarakis
  5. Tijmen Blankevoort
  6. Qing Jin
  7. Yaohui Cai
  8. Peisong Wang
  9. Zi-Mei Yao
  10. Ruihao Gong

Papers from Yury Nahshan's perspective

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

Their papers