Hao-Yu Wu

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 580 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hao-Yu Wu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Jia Deng
  7. Yoshua Bengio
  8. Yann LeCun
  9. Sergey Ioffe
  10. Diederik P. Kingma

Who trusts Hao-Yu Wu overall

  1. Umur Aybars Ciftci
  2. Yu Sun
  3. Mohamed A. Elgharib
  4. Zicheng Liao
  5. Neal Wadhwa
  6. Frédo Durand
  7. Xuesong Niu
  8. Wei Peng
  9. André Anjos
  10. Eu Wern Teh

Papers from Hao-Yu Wu's perspective

Ordered by how strongly the researchers Hao-Yu Wu 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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