Shi-gang Zheng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shi-gang Zheng trusts overall

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

  1. Daniel Scharstein
  2. Rowel O. Atienza
  3. Alex Krizhevsky
  4. Eddy Ilg
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Manolis Savva
  8. Ilya Sutskever
  9. Michael Bleyer

Who trusts Shi-gang Zheng overall

  1. René Ranftl
  2. Xin He

Papers from Shi-gang Zheng's perspective

Ordered by how strongly the researchers Shi-gang Zheng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Fully convolutional networks for semantic segmentation
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers