Yan Zeng

Computer Vision and Pattern Recognition · with Fang · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Zeng trusts overall

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

  1. A. Bovik
  2. Hamid R. Sheikh
  3. Zhou Wang
  4. Deepti Ghadiyaram
  5. Diederik P. Kingma
  6. Anush K. Moorthy
  7. Kaiming He
  8. Alex Krizhevsky
  9. Kede Ma
  10. Geoffrey E. Hinton

Papers from Yan Zeng's perspective

Ordered by how strongly the researchers Yan Zeng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers