Wei Hu

Computer Vision and Pattern Recognition · with Guo · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Hu trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Yann LeCun
  6. Danilo Jimenez Rezende
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Individualized Treat
  10. Ilya Sutskever

Who trusts Wei Hu overall

  1. Arash Vahdat
  2. Heewoo Jun
  3. Ruihan Yang
  4. Florinel-Alin Croitoru
  5. Luping Liu
  6. Wengong Jin
  7. Karsten Kreis
  8. Alex Nichol
  9. Xiaohui Zeng
  10. Yawar Siddiqui

Papers from Wei Hu's perspective

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

Their papers