Valentin Bazarevsky

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Valentin Bazarevsky trusts overall

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

  1. Ross B. Girshick
  2. Yury Kartynnik
  3. Tsung-Yi Lin
  4. Shaoqing Ren
  5. Kaiming He
  6. Wei David Liu
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. Christian Szegedy
  10. Piotr Doll'ar

Who trusts Valentin Bazarevsky overall

  1. Deressa Wodajo
  2. Fan Zhang
  3. Tao Jiang
  4. Solomon Atnafu

Papers from Valentin Bazarevsky's perspective

Ordered by how strongly the researchers Valentin Bazarevsky 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Microsoft COCO: Common Objects in Context
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers