Di Dong

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Di Dong trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Gao Huang
  5. Ross B. Girshick
  6. Olaf Ronneberger
  7. Yann LeCun
  8. Tsung-Yi Lin
  9. Shuo Wang
  10. Yoshua Bengio

Who trusts Di Dong overall

  1. Asmaa Abbas
  2. Deng-Ping Fan

Papers from Di Dong's perspective

Ordered by how strongly the researchers Di Dong 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers