Luping Zhou

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 141 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Luping Zhou trusts overall

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

  1. Kaiming He
  2. Yong Fan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Mehrtash Harandi
  6. Evan Shelhamer
  7. Christos Davatzikos
  8. Chih-Jen Lin
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Luping Zhou overall

  1. Jacopo Cavazza
  2. Tianfang Zhang
  3. Siqi Liu
  4. Mingjin Zhang
  5. Dinggang Shen

Papers from Luping Zhou's perspective

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

Their papers