Oscar Beijbom

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 9 papers; trusts 813 researchers and is trusted by 1,006 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar Beijbom trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. David G. Lowe
  6. Antonio Torralba
  7. Ross B. Girshick
  8. Jitendra Malik
  9. Andrea Vedaldi
  10. Yann LeCun

Who trusts Oscar Beijbom overall

  1. Tsung-Yu Lin
  2. Rohit Girdhar
  3. Vivek Sharma
  4. Trevor Darrell
  5. Salman Hameed Khan
  6. Peng Gao
  7. Jonathan P. Dandois
  8. Tianwei Yin
  9. Nazneen Rajani
  10. Yin Cui

Papers from Oscar Beijbom's perspective

Ordered by how strongly the researchers Oscar Beijbom 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers