Dong Gong

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 282 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dong Gong trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Jimmy Ba
  10. Alex Graves

Who trusts Dong Gong overall

  1. Orest Kupyn
  2. Hanqiu Deng
  3. Kilian Batzner
  4. Hyunjong Park
  5. Jianfeng Feng
  6. Zhikang Liu
  7. Jingkang Yang
  8. Yu-xin Zhang
  9. Xing Liu
  10. Hongyun Gao

Papers from Dong Gong's perspective

Ordered by how strongly the researchers Dong Gong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers