Tao Wei

Computer Vision and Pattern Recognition · with Chen · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Wei trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yann LeCun
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Christian Szegedy
  9. X. Zhang
  10. Ilya Sutskever

Who trusts Tao Wei overall

  1. Thomas Elsken
  2. Zhichao Lu
  3. George Philipp
  4. Wei Ma
  5. Lemeng Wu
  6. Jan Hendrik Metzen
  7. Igor Fedorov
  8. Doyen Sahoo
  9. Chenhan Jiang
  10. Hui Zhu

Papers from Tao Wei's perspective

Ordered by how strongly the researchers Tao Wei 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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