Shaohua Wan

Computer Vision and Pattern Recognition · Internet of Things · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaohua Wan trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Shaoqing Ren
  7. Davide Anguita
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Shaohua Wan overall

  1. Elangovan Ramanujam
  2. Thinagaran Perumal

Papers from Shaohua Wan's perspective

Ordered by how strongly the researchers Shaohua Wan 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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers