Dian Gong

Computer Vision and Pattern Recognition · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 184 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Dian Gong trusts overall

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

  1. Francis R. Bach
  2. Michael I. Jordan
  3. Arthur Gretton
  4. Geoffrey E. Hinton
  5. Daniel Weinland
  6. Alex Smola
  7. Bernhard Schölkopf
  8. Ivan Laptev
  9. Andrew Y. Ng
  10. Alex Krizhevsky

Who trusts Dian Gong overall

  1. Behrooz Mahasseni
  2. Bangpeng Yao
  3. Zhiyuan Shi
  4. Fei Han
  5. Sinisa Todorovic
  6. Li Fei-Fei
  7. Qianli Ma
  8. Sheng-lan Liu
  9. Yong Du
  10. Tae-Kyun Kim

Papers from Dian Gong's perspective

Ordered by how strongly the researchers Dian Gong 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers