Yabiao Wang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 342 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yabiao Wang trusts overall

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

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

Who trusts Yabiao Wang overall

  1. Chongyi Li
  2. Chunle Guo
  3. Tanmay Gupta

Papers from Yabiao Wang's perspective

Ordered by how strongly the researchers Yabiao Wang 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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