Wen Yang

Computer Vision and Pattern Recognition · arXiv.org · 2010–2022

A researcher in the Science corpus: 9 papers; trusts 766 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Yang trusts overall

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

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

Who trusts Wen Yang overall

  1. Gui-Song Xia
  2. Gong Cheng
  3. Fan Hu
  4. Grant J. Scott
  5. Jingwen Hu
  6. Yanfei Zhong
  7. Longhui Huang
  8. Baochang Zhang
  9. Wei Li
  10. Liangpei Zhang

Papers from Wen Yang's perspective

Ordered by how strongly the researchers Wen Yang 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. Attention is All you Need (Neural Information Processing Systems)
  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