Xu Wang

Computer Vision and Pattern Recognition · with Jiang · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xu Wang trusts

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

  1. Guang-Yu Deng (in Computer Vision and Pattern Recognition)
  2. Xiaojie Guo (in Computer Vision and Pattern Recognition)
  3. Jiaying Liu (in Computer Vision and Pattern Recognition)
  4. Wenhan Yang (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Yu Li (in Computer Vision and Pattern Recognition)
  7. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  10. Luc Van Gool (in Computer Vision and Pattern Recognition)

Papers from Xu Wang's perspective

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

Their papers