Nanyang Wang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Nanyang Wang trusts overall

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

  1. Kaiming He
  2. Davide Boscaini
  3. Jonathan Masci
  4. Geoffrey E. Hinton
  5. Michael M. Bronstein
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Thomas Kipf
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Nanyang Wang overall

  1. Zhiqin Chen
  2. Shichen Liu
  3. Michael Niemeyer
  4. Kyle Genova
  5. Lars M. Mescheder
  6. Gyeongsik Moon
  7. Julian Chibane
  8. Georgia Gkioxari
  9. Jeremy Reizenstein
  10. Hiroharu Kato

Papers from Nanyang Wang's perspective

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

Their papers