Zhenhua Guo

Computer Vision and Pattern Recognition · with Li · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhenhua Guo trusts

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

  1. W. E (in Artificial Intelligence)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Ming-Ming Cheng (in Computer Vision and Pattern Recognition)

Papers from Zhenhua Guo's perspective

Ordered by how strongly the researchers Zhenhua Guo 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Instance Normalization: The Missing Ingredient for Fast Stylization
  4. ImageNet classification with deep convolutional neural networks
  5. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers