Zhen Han

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhen Han trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. X. Zhang
  5. Shaoqing Ren
  6. Ross B. Girshick
  7. Yann LeCun

Papers from Zhen Han's perspective

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

Their papers