Bruno Korbar

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 1,169 researchers and is trusted by 552 researchers here, as inferred from the citation graph.

Subfields

Whom Bruno Korbar trusts overall

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

  1. Andrew Zisserman
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Bruno Korbar overall

  1. Christoph Feichtenhofer
  2. Mandela Patrick
  3. Ruohan Gao
  4. Kristen Grauman
  5. Fanyi Xiao
  6. Du Tran
  7. Rameswar Panda
  8. Arsha Nagrani
  9. Lorenzo Torresani
  10. A. Piergiovanni

Papers from Bruno Korbar's perspective

Ordered by how strongly the researchers Bruno Korbar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers