Libo Zhang

Computer Vision and Pattern Recognition · with Liu · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 758 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Libo Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Shaoqing Ren
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Libo Zhang's perspective

Ordered by how strongly the researchers Libo Zhang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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