Bing Li

Computer Vision and Pattern Recognition · with Ghanem · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Li trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. David G. Lowe
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Yann LeCun
  10. Ross B. Girshick

Papers from Bing Li's perspective

Ordered by how strongly the researchers Bing 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 Large Scale Visual Recognition Challenge
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers