Han Wang

Computer Vision and Pattern Recognition · with Jia · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Wang trusts overall

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

  1. Jingen Liu
  2. Ali Farhadi
  3. John Shawe-Taylor
  4. Ruonan Li
  5. Chang Wang
  6. Brian Kulis
  7. Daniel Weinland
  8. Lixin Duan
  9. Mubarak Shah
  10. Xiaoxiao Shi

Papers from Han Wang's perspective

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

Their papers