Gengshan Yang

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 148 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Gengshan Yang trusts overall

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

  1. Heiko Hirschmüller
  2. Engin Tola
  3. Andreas Geiger
  4. Yann LeCun
  5. Vladimir Kolmogorov
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Jure Zbontar
  9. Moritz Menze
  10. Alex Krizhevsky

Who trusts Gengshan Yang overall

  1. Zachary Teed
  2. Yuchao Dai
  3. Lahav Lipson
  4. Jia Deng
  5. Haofei Xu
  6. Hamid Laga
  7. Vladimir Tankovich
  8. Zhibo Rao
  9. Laurent Valentin Jospin

Papers from Gengshan Yang's perspective

Ordered by how strongly the researchers Gengshan 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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