Libo Wang

Computer Vision and Pattern Recognition · with Duan · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Libo Wang trusts overall

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

  1. Kaiming He
  2. Liang-Chieh Chen
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Evan Shelhamer
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Karen Simonyan

Who trusts Libo Wang overall

  1. Xianping Ma
  2. Xiaokang Zhang
  3. Junshi Xia
  4. Man On Pun

Papers from Libo Wang's perspective

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

Their papers