Bin Yan

Computer Vision and Pattern Recognition · with Zhang · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 357 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Yan trusts overall

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

  1. Kaiming He
  2. Martin Danelljan
  3. Shaoqing Ren
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Bin Yan overall

  1. Botao Ye
  2. Yaozong Zheng
  3. Liting Lin
  4. Shenyuan Gao
  5. Jiannan Wu
  6. Jianwei Yang
  7. Yang Zheng
  8. Boyu Chen
  9. Ding Jia
  10. Xin Chen

Papers from Bin Yan's perspective

Ordered by how strongly the researchers Bin Yan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers