Wei Huang

Computer Vision and Pattern Recognition · with Tian · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 232 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Huang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Tsung-Yi Lin

Who trusts Wei Huang overall

  1. Qiming Zhang

Papers from Wei Huang's perspective

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

Their papers