Guanjun Wu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guanjun Wu trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Geoffrey E. Hinton
  3. Ang Cao
  4. Guikun Chen
  5. Kaiming He
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Jonathan T. Barron
  9. Bernhard Kerbl
  10. Zhou Wang

Who trusts Guanjun Wu overall

  1. Minghan Qin
  2. Tianyi Xie
  3. Nikhil Varma Keetha
  4. Jiahe Li

Papers from Guanjun Wu's perspective

Ordered by how strongly the researchers Guanjun Wu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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