Bongshin Lee

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 9 papers; trusts 24 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Bongshin Lee trusts overall

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

  1. Li Fei-Fei
  2. J. Platt
  3. Rob Fergus
  4. Kristen Grauman
  5. C. Drummond
  6. Jeffrey Heer
  7. Pietro Perona
  8. Trevor Darrell
  9. George Forman
  10. Geoffrey E. Hinton

Who trusts Bongshin Lee overall

  1. John J. Dudley
  2. Todd Kulesza
  3. Minsuk Kahng
  4. Helen Gibson
  5. Nathalie Henry Riche
  6. Yao Ming
  7. Bilal Alsallakh
  8. Tamara Munzner
  9. Saleema Amershi
  10. Per Ola Kristensson

Papers from Bongshin Lee's perspective

Ordered by how strongly the researchers Bongshin Lee 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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