Haoyang Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoyang Wang trusts overall

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

  1. Riza Alp Güler
  2. Christoph Lassner
  3. Jonathan Masci
  4. Angjoo Kanazawa
  5. Yann LeCun
  6. Volker Blanz
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Joan Bruna
  10. Davide Boscaini

Who trusts Haoyang Wang overall

  1. Zhe Cao

Papers from Haoyang Wang's perspective

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

Their papers