Vladimir Tankovich

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vladimir Tankovich trusts overall

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

  1. Daniel Scharstein
  2. Kaiming He
  3. Pedro F. Felzenszwalb
  4. Jonathan T. Barron
  5. Yann LeCun
  6. Andreas Geiger
  7. Vladimir Kolmogorov
  8. Evan Shelhamer
  9. Geoffrey E. Hinton
  10. Michael Bleyer

Who trusts Vladimir Tankovich overall

  1. Lahav Lipson
  2. Gangwei Xu
  3. Zachary Teed

Papers from Vladimir Tankovich's perspective

Ordered by how strongly the researchers Vladimir Tankovich 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. 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. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers