Deguang Kong

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Deguang Kong trusts overall

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

  1. David G. Lowe
  2. Yann LeCun
  3. Chris H. Q. Ding
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Nicolas Papernot
  7. Yoshua Bengio
  8. Daniel D. Lee
  9. L. Eon Bottou
  10. Athinodoros S. Georghiades

Who trusts Deguang Kong overall

  1. Menglei Hu
  2. Saúl Solorio-Fernández
  3. Yifeng Li
  4. Ramakrishnan Kannan
  5. Zechao Li
  6. Songcan Chen
  7. J. A. Carrasco-Ochoa
  8. Chih-Yu Chen
  9. Hyenkyun Woo
  10. Yi Yang

Papers from Deguang Kong's perspective

Ordered by how strongly the researchers Deguang Kong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers