Ruixing Wang

Computer Vision and Pattern Recognition · with Fu · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 123 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ruixing Wang trusts overall

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

  1. Karen Simonyan
  2. Diederik P. Kingma
  3. Xiaojie Guo
  4. Xueyang Fu
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Yu Li
  10. Jimmy Ba

Who trusts Ruixing Wang overall

  1. Wenhan Yang
  2. Chongyi Li
  3. Hao Bian
  4. Chunle Guo
  5. Syed Waqas Zamir
  6. Feifan Lv
  7. Xiaogang Xu
  8. Ke Xu
  9. Risheng Liu
  10. Yonghua Zhang

Papers from Ruixing Wang's perspective

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

Their papers