Xingxing Wei

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Xingxing Wei trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Xinpeng Zhang
  8. X. Zhang
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Xingxing Wei overall

  1. Deng-Ping Fan
  2. Naveed Akhtar
  3. Hao Chen

Papers from Xingxing Wei's perspective

Ordered by how strongly the researchers Xingxing Wei 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers