Wenbo Tan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbo Tan trusts overall

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

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

Papers from Wenbo Tan's perspective

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

Their papers