Wenbing Tao

Computer Vision and Pattern Recognition · 2007–2022

A researcher in the Science corpus: 6 papers; trusts 611 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbing Tao trusts overall

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

  1. Dorin Comaniciu
  2. Kaiming He
  3. Ross B. Girshick
  4. Jianbo Shi
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Jitendra Malik
  8. Tsung-Yi Lin
  9. Yann LeCun
  10. Piotr Doll'ar

Who trusts Wenbing Tao overall

  1. Hiroaki Sasaki
  2. Giovanna Menardi
  3. Aapo Hyvärinen
  4. Yulan Guo

Papers from Wenbing Tao's perspective

Ordered by how strongly the researchers Wenbing Tao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers