Pei Zhang

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pei Zhang trusts overall

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

  1. Feiping Nie
  2. Changqing Zhang
  3. Xuelong Li
  4. Heng Huang
  5. Yeqing Li
  6. Maria Brbic
  7. Zhao Kang
  8. Xiao Cai

Papers from Pei Zhang's perspective

Ordered by how strongly the researchers Pei Zhang 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. Gradient-based learning applied to document recognition
  4. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Histograms of oriented gradients for human detection
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers