Kaiye Wang

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 408 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiye Wang trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. David M. Blei
  5. Yoshua Bengio
  6. Kaiming He
  7. Josh Tenenbaum
  8. Michael I. Jordan
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Kaiye Wang overall

  1. Bokun Wang
  2. Xing Xu
  3. Cuicui Kang
  4. Yang Yang
  5. Zhedong Zheng
  6. Yanwei Fu
  7. Qiyue Yin
  8. Heng Tao Shen
  9. Shengcai Liao
  10. Alan Hanjalic

Papers from Kaiye Wang's perspective

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

Their papers