Dmitry Baranchuk

Computer Vision and Pattern Recognition · with Babenko · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dmitry Baranchuk trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Prafulla Dhariwal
  4. Alex Krizhevsky
  5. Kaiming He
  6. Jonathan Ho
  7. Yoshua Bengio
  8. Yang Song
  9. Tero Karras
  10. Jascha Narain Sohl-Dickstein

Who trusts Dmitry Baranchuk overall

  1. Julia Wolleb
  2. Alexandros Graikos
  3. Ting-Li Chen
  4. Shekoofeh Azizi
  5. Jiarui Xu
  6. Hanqun Cao
  7. Junyi Zhang
  8. Florentin Bieder
  9. Robin Sandkühler
  10. Sicheng Gao

Papers from Dmitry Baranchuk's perspective

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

Their papers