Xingang Wang

Computer Vision and Pattern Recognition · with Li · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 410 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xingang Wang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Liang-Chieh Chen
  6. Karen Simonyan
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Xingang Wang overall

  1. Zhuowen Tu
  2. Liang-Chieh Chen
  3. Huiyu Wang

Papers from Xingang Wang's perspective

Ordered by how strongly the researchers Xingang Wang 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  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. 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. ImageNet Large Scale Visual Recognition Challenge

Their papers