Bongwon Suh

Computer Vision and Pattern Recognition · 2003–2018

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Bongwon Suh trusts overall

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

  1. B. Bederson
  2. Ming-Hsuan Yang
  3. Akshay Java
  4. Haewoon Kwak
  5. S. Li
  6. Alex Smola
  7. Susan C. Herring
  8. David J. Kriegman
  9. Jeffrey Heer
  10. Andrew McCallum

Who trusts Bongwon Suh overall

  1. Aniket Kittur
  2. J. Sun
  3. Filip Klubicka
  4. Wenguan Wang
  5. Tam V. Nguyen
  6. Haibin Ling
  7. Nasir Naveed
  8. Denis Simakov
  9. Michael S. Bernstein
  10. Anthony Santella

Papers from Bongwon Suh's perspective

Ordered by how strongly the researchers Bongwon Suh 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. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers