Bin Li

Computer Vision and Pattern Recognition · 4 papers · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 300 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Li trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Johannes Ballé
  5. Geoffrey E. Hinton
  6. David C. Minnen
  7. Yann LeCun
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Bin Li overall

  1. Jiahao Li
  2. Huiyu Wang
  3. Jincheng Dai

Papers from Bin Li's perspective

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

Their papers