Boyuan Jiang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 240 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Boyuan Jiang trusts overall

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

  1. Kaiming He
  2. Andrew Zisserman
  3. Christoph Feichtenhofer
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Sergey Ioffe
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Boyuan Jiang overall

  1. Limin Wang
  2. Kunchang Li
  3. Yan Li
  4. Jonathan Munro
  5. Xinyu Li
  6. Zhan Tong
  7. Yali Wang

Papers from Boyuan Jiang's perspective

Ordered by how strongly the researchers Boyuan Jiang 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers