Shuchang Zhou

Computer Vision and Pattern Recognition · with Heng · 2020

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuchang Zhou trusts overall

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

  1. Simon Niklaus
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sergey Ioffe

Papers from Shuchang Zhou's perspective

Ordered by how strongly the researchers Shuchang Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers