Sheng-Hua Zhong

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng-Hua Zhong trusts overall

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

  1. Jessica J. Fridrich
  2. Jan Kodovský
  3. Vojtech Holub
  4. Kaiming He
  5. Vahid Sedighi
  6. Patrick Bas
  7. Bin Li
  8. Tomáš Denemark
  9. Guanshuo Xu
  10. X. Zhang

Who trusts Sheng-Hua Zhong overall

  1. Billie F. Spencer Jr.
  2. Utku Evci

Papers from Sheng-Hua Zhong's perspective

Ordered by how strongly the researchers Sheng-Hua Zhong 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers