Hongbo Fu

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 211 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongbo Fu trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Christopher Bongsoo Choy
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Radu Bogdan Rusu
  8. Diederik P. Kingma
  9. Charles Ruizhongtai Qi
  10. Yann LeCun

Papers from Hongbo Fu's perspective

Ordered by how strongly the researchers Hongbo Fu 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers