Yixin Jin

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 2 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yixin Jin trusts overall

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

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

Who trusts Yixin Jin overall

  1. Aliaksandr Siarohin

Papers from Yixin Jin's perspective

Ordered by how strongly the researchers Yixin Jin 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers