Ho-Hsiang Wu

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ho-Hsiang Wu trusts overall

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

  1. Andrew Zisserman
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Relja Arandjelovi'c
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Michael U Gutmann
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Ho-Hsiang Wu overall

  1. Yanpeng Zhao
  2. Sanyuan Chen
  3. Seung Hyun Lee
  4. Andy Zeng
  5. Xavier Favory
  6. Aren Jansen

Papers from Ho-Hsiang Wu's perspective

Ordered by how strongly the researchers Ho-Hsiang 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers