Ke Gu

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 7 papers; trusts 212 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Gu trusts overall

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

  1. A. Bovik
  2. Zhou Wang
  3. Hamid R. Sheikh
  4. Anish Mittal
  5. Anush K. Moorthy
  6. Lin Zhang
  7. Karl J. Friston
  8. Chih-Jen Lin
  9. Nikolay N. Ponomarenko
  10. Lei Zhang

Who trusts Ke Gu overall

  1. Guangtao Zhai
  2. Xiongkuo Min
  3. Wencheng Wang
  4. Shijie Hao
  5. Weisi Lin
  6. Dacheng Tao
  7. Xiaojin Wu
  8. Xiaokang Yang
  9. Weihao Xia
  10. Hancheng Zhu

Papers from Ke Gu's perspective

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

Their papers