Rui Gong

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 246 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Rui Gong trusts overall

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

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

Who trusts Rui Gong overall

  1. Kaiyang Zhou
  2. Yanchao Yang
  3. Myeongjin Kim
  4. Lukas Hoyer
  5. Yahao Liu
  6. Jindong Wang
  7. Yang Zou
  8. Shuhao Cui
  9. Peng Su
  10. Stefano Soatto

Papers from Rui Gong's perspective

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

Their papers