Jihao Yin

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jihao Yin trusts overall

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

  1. Aude Oliva
  2. Vincent Lepetit
  3. Trevor J. Hastie
  4. Antonio Torralba
  5. Pascal Fua
  6. Matthijs C. Dorst
  7. Leo Breiman

Papers from Jihao Yin's perspective

Ordered by how strongly the researchers Jihao Yin 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. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers