Wenbo Bao

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 212 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbo Bao trusts overall

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

  1. Kaiming He
  2. Simon Niklaus
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. X. Zhang
  8. Jimmy Ba
  9. Sergey Ioffe
  10. Andrew Zisserman

Who trusts Wenbo Bao overall

  1. Simon Niklaus
  2. Zhewei Huang
  3. Myungsub Choi
  4. Tianyuan Zhang
  5. Heewon Kim
  6. Feng Liu
  7. Jingyun Liang
  8. Wen Heng
  9. Bohyung Han

Papers from Wenbo Bao's perspective

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

Their papers