Yu Zhong

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Zhong trusts overall

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

  1. Niloy J. Mitra
  2. Andrea Frome
  3. A. Nguyen
  4. Daniel F. Huber
  5. Leonidas J. Guibas
  6. Andrew E. Johnson
  7. Richard J. Campbell
  8. Martial Hebert
  9. Natraj Iyer
  10. Jitendra Malik

Who trusts Yu Zhong overall

  1. Samuele Salti
  2. Yulan Guo
  3. Federico Tombari
  4. Min Lu
  5. Luigi Di Stefano
  6. Zi Jian Yew
  7. Mohammed Bennamoun
  8. Ferdous Sohel
  9. Alessio Tonioni
  10. Jiayi Ma

Papers from Yu Zhong's perspective

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

Their papers