Wenbin Li

Computer Vision and Pattern Recognition · with Fritz · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 304 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbin Li trusts overall

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

  1. Alex Krizhevsky
  2. Jessica B. Hamrick
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Kaiming He
  8. Jia Deng
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Wenbin Li overall

  1. Ronan Riochet
  2. Anton Bakhtin
  3. Arunkumar Byravan
  4. Mario Ynocente Castro
  5. Huan Fu
  6. L. V. D. van der Maaten
  7. Mike Roberts
  8. Oliver Groth
  9. Jessica B. Hamrick
  10. Nicholas Watters

Papers from Wenbin Li's perspective

Ordered by how strongly the researchers Wenbin Li 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. 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers