Xiaowei Hu

Computer Vision and Pattern Recognition · International Joint Conference on Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 309 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaowei Hu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. He Zhang
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. X. Zhang

Who trusts Xiaowei Hu overall

  1. Xiaodong Cun
  2. Sungha Choi
  3. Junhang Wei
  4. Chi-Man Pun
  5. Deng-Ping Fan
  6. Tao Li

Papers from Xiaowei Hu's perspective

Ordered by how strongly the researchers Xiaowei Hu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers